Advanced
Automobile
Concepts
Appendix
4/16/2012
Contents
Chapter 15 ........................................................................................................................................................................................... 3
Question 1: ....................................................................................................................................................................................... 3
Frequency Table ........................................................................................................................................................................... 3
Question 2: ....................................................................................................................................................................................... 9
Frequencies ................................................................................................................................................................................... 9
Question 3: ..................................................................................................................................................................................... 11
Descriptive Statistics ................................................................................................................................................................... 11
Question 4: ..................................................................................................................................................................................... 12
Descriptive Statistics ................................................................................................................................................................... 12
Question 5: ..................................................................................................................................................................................... 13
Descriptive Statistics ................................................................................................................................................................... 13
Question 6: ..................................................................................................................................................................................... 14
Descriptive Statistics ................................................................................................................................................................... 14
Chapter 16 ......................................................................................................................................................................................... 15
Questions 1:.................................................................................................................................................................................... 15
Question 2: ..................................................................................................................................................................................... 17
Descriptive Statistics ................................................................................................................................................................... 17
Question 3: ..................................................................................................................................................................................... 17
T-Test ......................................................................................................................................................................................... 17
One-Sample Statistics ................................................................................................................................................................. 17
Chapter 17: ........................................................................................................................................................................................ 22
Chapter 18: ........................................................................................................................................................................................ 49
Question 1: ..................................................................................................................................................................................... 49
Case Processing Summary .......................................................................................................................................................... 49
Chapter 15
Question 1:
Frequency Table
Statistics
N
Size of home town
or city
Gender
Marital status
Number of people
in household
Age
Level of education Job category
Income level
Dwelling type
Valid
1000
1000
1000
1000
1000
1000
1000
1000
1000
Missing
0
0
0
0
0
0
0
0
0
1500
0
1
1
42
12
2
37.5
1
Mode
Size of home town or city
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
5
154
15.4
15.4
15.4
55
177
17.7
17.7
33.1
300
176
17.6
17.6
50.7
750
226
22.6
22.6
73.3
1500
267
26.7
26.7
100.0
Size of home town or city
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
5
154
15.4
15.4
15.4
55
177
17.7
17.7
33.1
300
176
17.6
17.6
50.7
750
226
22.6
22.6
73.3
1500
267
26.7
26.7
100.0
Total
1000
100.0
100.0
Gender
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
Male
505
50.5
50.5
50.5
Female
495
49.5
49.5
100.0
Total
1000
100.0
100.0
Marital status
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
Unmarried
487
48.7
48.7
48.7
Married
513
51.3
51.3
100.0
Total
1000
100.0
100.0
Number of people in household
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
1
395
39.5
39.5
39.5
2
307
30.7
30.7
70.2
3
109
10.9
10.9
81.1
4
104
10.4
10.4
91.5
5
64
6.4
6.4
97.9
6
13
1.3
1.3
99.2
7
5
.5
.5
99.7
8
2
.2
.2
99.9
9
1
.1
.1
100.0
Total
1000
100.0
100.0
Age
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
21
121
12.1
12.1
12.1
30
174
17.4
17.4
29.5
42
256
25.6
25.6
55.1
57
239
23.9
23.9
79.0
70
210
21.0
21.0
100.0
Total
1000
100.0
100.0
Frequency
Percent
Valid Percent
Cumulative
Percent
9
194
19.4
19.4
19.4
12
298
29.8
29.8
49.2
14
214
21.4
21.4
70.6
16
222
22.2
22.2
92.8
Level of education
Valid
18
72
7.2
7.2
Total
1000
100.0
100.0
100.0
Job category
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
Managerial and Professional
246
24.6
24.6
24.6
Sales and Office
285
28.5
28.5
53.1
Service
120
12.0
12.0
65.1
Agricultural and Natural
Resources
29
2.9
2.9
68.0
Precision Production, Craft,
Repair
75
7.5
7.5
75.5
Operation, Fabrication,
General Labor
102
10.2
10.2
85.7
Retired
143
14.3
14.3
100.0
Total
1000
100.0
100.0
Income level
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
20.0
256
25.6
25.6
25.6
37.5
343
34.3
34.3
59.9
62.5
194
19.4
19.4
79.3
100.0
137
13.7
13.7
93.0
150.0
70
7.0
7.0
100.0
Total
1000
100.0
100.0
Dwelling type
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
Single-family
452
45.2
45.2
45.2
Multiple-Family
296
29.6
29.6
74.8
Condominium/Townhouse
185
18.5
18.5
93.3
Mobile Home
67
6.7
6.7
100.0
Total
1000
100.0
100.0
Question 2:
Frequencies
Statistics
N
Primary vehicle
price type
Primary vehicle
type
Type of
commuting
Valid
1000
1000
1000
Missing
0
0
0
Frequency Table
Primary vehicle price type
Valid
No vehicle
Frequency
Percent
Valid Percent
Cumulative
Percent
100
10.0
10.0
10.0
Economy
455
45.5
45.5
55.5
Standard
271
27.1
27.1
82.6
Luxury
174
17.4
17.4
100.0
Total
1000
100.0
100.0
Primary vehicle type
Valid
Frequency
Percent
Valid Percent
Cumulative
Percent
No vehicle
100
10.0
10.0
10.0
Car
432
43.2
43.2
53.2
Pick-Up Truck
210
21.0
21.0
74.2
SUV, Van
258
25.8
25.8
100.0
Total
1000
100.0
100.0
Type of commuting
Valid
Single occupancy
Frequency
Percent
Valid Percent
Cumulative
Percent
588
58.8
58.8
58.8
Multiple occupancy
62
6.2
6.2
65.0
Public transportation
188
18.8
18.8
83.8
Non-motorized
125
12.5
12.5
96.3
Telecommute
37
3.7
3.7
100.0
Total
1000
100.0
100.0
Descriptives
Question 3:
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
I am worried about global
warming.
1000
1
7
6.10
1.459
Global warming is a real
threat.
1000
1
7
5.62
1.836
We need to do something to
slow global warming.
1000
1
7
5.33
1.910
Valid N (listwise)
1000
Descriptive
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
Gasoline emissions contribute 1000
to global warming.
1
7
4.82
2.277
Americans use too much
gasoline.
1000
1
7
5.03
2.039
We should be looking for
gasoline substitutes.
1000
1
7
5.07
2.159
Valid N (listwise)
1000
N
Minimum
Maximum
Mean
Std. Deviation
1000
1
7
5.10
2.052
Hybrid autos that use
1000
alternative fuels will keep gas
prices down.
1
7
5.77
2.157
Hybrid autos that use
alternative fuels will slow
down global warming.
1000
1
7
4.06
2.133
Valid N (listwise)
1000
Descriptive
Question 4:
Descriptive Statistics
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
Descriptive
Question 5:
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
1000
1
7
4.83
2.079
Very small autos with very
1000
high mpg's will keep gas prices
stable.
1
7
4.50
2.343
Very small autos with very
high mpg's will slow down
global warming.
1000
1
7
3.46
2.197
Small autos with high mpg's
will reduce fuel emissions.
1000
1
7
3.95
2.247
Small autos with high mpg's
will keep gas prices stable.
1000
1
7
4.91
2.523
Small autos with high mpg's
will slow down global
warming.
1000
1
7
4.47
2.296
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
1000
1
7
5.10
2.052
Very small autos with very
high mpg's will reduce fuel
emissions.
Hybrid autos that use
1000
alternative fuels will keep gas
prices down.
1
7
5.77
2.157
Hybrid autos that use
alternative fuels will slow
down global warming.
1000
1
7
4.06
2.133
Valid N (listwise)
1000
N
Minimum
Maximum
Mean
Std. Deviation
Probability of buying a very
small (1 seat) hybrid auto
within 3 years
1000
0
100
13.78
23.088
Probability of buying a small
(2 seat) hybrid auto within 3
years
1000
0
90
20.59
19.285
Probability of buying a
standard size hybrid auto
within 3 years
1000
0
100
30.12
21.205
Question 6:
Descriptive Statistics
Probability of buying a
standard size synthetic fuel
auto within 3 years
1000
0
100
40.17
21.465
Probability of buying a
standard size electric auto
within 3 years
1000
0
100
34.64
22.090
Valid N (listwise)
1000
Chapter 16
Questions 1:
Primary vehicle price type
N
Mode
Valid
1000
Missing
0
1
Primary vehicle price type
Frequency
Percent
Valid Percent
Cumulative Percent
Valid
No vehicle
100
10.0
10.0
10.0
Economy
455
45.5
45.5
55.5
Standard
271
27.1
27.1
82.6
Luxury
174
17.4
17.4
100.0
Total
1000
100.0
100.0
Primary vehicle type
Valid
Frequency
Percent
Valid Percent
Cumulative Percent
No vehicle
100
10.0
10.0
10.0
Car
432
43.2
43.2
53.2
Pick-Up Truck
210
21.0
21.0
74.2
SUV, Van
258
25.8
25.8
100.0
Total
1000
100.0
100.0
Descriptives
Question 2:
Descriptive Statistics
N
Minimum
Maximum
Mean
Std. Deviation
1000
1
7
5.10
2.052
Hybrid autos that use
1000
alternative fuels will keep gas
prices down.
1
7
5.77
2.157
Hybrid autos that use
alternative fuels will slow
down global warming.
1000
1
7
4.06
2.133
Valid N (listwise)
1000
N
Mean
Std. Deviation
Std. Error Mean
1000
13.78
23.088
.730
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
Question 3:
T-Test
One-Sample Statistics
Probability of buying a very
small (1 seat) hybrid auto
within 3 years
One-Sample Test
Test Value = 5
95% Confidence Interval of the
Difference
Probability of buying a very
small (1 seat) hybrid auto
within 3 years
t
Df
Sig. (2-tailed)
Mean Difference Lower
Upper
12.026
999
.000
8.780
10.21
N
Mean
Std. Deviation
Std. Error Mean
1000
20.59
19.285
.610
T-Test
One-Sample Statistics
Probability of buying a small
(2 seat) hybrid auto within 3
years
One-Sample Test
7.35
Test Value = 5
95% Confidence Interval of the
Difference
Probability of buying a small
(2 seat) hybrid auto within 3
years
t
df
Sig. (2-tailed)
Mean Difference Lower
Upper
25.563
999
.000
15.590
16.79
N
Mean
Std. Deviation
Std. Error Mean
1000
30.12
21.205
.671
T-Test
One-Sample Statistics
Probability of buying a
standard size hybrid auto
within 3 years
One-Sample Test
14.39
Test Value = 15
95% Confidence Interval of the
Difference
Probability of buying a
standard size hybrid auto
within 3 years
t
df
Sig. (2-tailed)
Mean Difference Lower
Upper
22.549
999
.000
15.120
16.44
N
Mean
Std. Deviation
Std. Error Mean
1000
40.17
21.465
.679
T-Test
One-Sample Statistics
Probability of buying a
standard size synthetic fuel
auto within 3 years
One-Sample Test
13.80
Test Value = 15
95% Confidence Interval of the
Difference
Probability of buying a
standard size synthetic fuel
auto within 3 years
t
df
Sig. (2-tailed)
Mean Difference Lower
Upper
37.082
999
.000
25.170
26.50
N
Mean
Std. Deviation
Std. Error Mean
1000
34.64
22.090
.699
T-Test
One-Sample Statistics
Probability of buying a
standard size electric auto
within 3 years
One-Sample Test
23.84
Test Value = 20
95% Confidence Interval of the
Difference
Probability of buying a
standard size electric auto
within 3 years
t
df
Sig. (2-tailed)
Mean Difference Lower
Upper
20.958
999
.000
14.640
16.01
13.27
Chapter 17:
T-Test
Group Statistics:GENDER
Gender
N
Mean
Std. Deviation
Std. Error Mean
Preference: Super Cycle 1 seat Male
hybrid
Female
505
3.50
1.697
.076
495
3.09
1.768
.079
Preference: Runabout Sport 2 Male
505
4.24
1.710
.076
seat hybrid
Female
495
4.29
1.714
.077
Preference: Runabout with
Luggage 2 seat hybrid
Male
505
3.85
1.856
.083
Female
495
3.72
1.877
.084
Male
505
3.54
1.851
.082
Female
495
3.45
1.827
.082
Male
505
4.82
1.582
.070
Female
495
5.10
1.659
.075
Preference: Economy 4 seat
hybrid
Preference: Standard 4 seat
hybrid
Independent Samples Test
Levene's Test for
Equality of Variances
t-test for Equality of Means
95% Confidence
Interval of the
Difference
F
Sig.
t
df
Sig. (2tailed)
Mean
Std. Error
Difference Difference Lower
Upper
Preference: Super Equal variances
Cycle 1 seat hybrid assumed
.093
.761
3.742
998
.
.410
.110
.195
.625
000
Equal variances not
assumed
Preference:
Runabout Sport 2
seat hybrid
Equal variances
assumed
.000
.985
Equal variances not
assumed
Preference:
Runabout with
Luggage 2 seat
hybrid
Equal variances
assumed
Preference:
Economy 4 seat
hybrid
Equal variances
assumed
.790
.374
Equal variances not
assumed
.649
.421
Equal variances not
assumed
Preference:
Standard 4 seat
hybrid
Equal variances
assumed
Equal variances not
assumed
T-Test
Group Statistics: MARITAL STATUS
1.634
.201
3.741
994.341 .000
.410
.110
.195
.625
-.455
998
.649
-.049
.108
-.262
.163
-.455
997.500 .649
-.049
.108
-.262
.163
1.053
998
.293
.124
.118
-.107
.356
1.053
996.997 .293
.124
.118
-.107
.356
.757
998
.449
.088
.116
-.140
.316
.758
997.956 .449
.088
.116
-.140
.316
.007
-.279
.102
-.480
-.078
-2.723 993.539 .007
-.279
.103
-.480
-.078
-2.724 998
Marital status
N
Mean
Std. Deviation
Std. Error Mean
Preference: Super Cycle 1 seat Unmarried
hybrid
Married
487
4.09
1.721
.078
513
2.54
1.400
.062
Preference: Runabout Sport 2 Unmarried
seat hybrid
Married
487
4.72
1.642
.074
513
3.83
1.663
.073
Preference: Runabout with
Luggage 2 seat hybrid
Unmarried
487
3.53
1.705
.077
Married
513
4.03
1.979
.087
Unmarried
487
3.43
1.837
.083
Married
513
3.56
1.841
.081
Unmarried
487
4.55
1.672
.076
Married
513
5.35
1.481
.065
Preference: Economy 4 seat
hybrid
Preference: Standard 4 seat
hybrid
Independent Samples Test
Levene's Test for Equality
of Variances
t-test for Equality of Means
95% Confidence Interval
of the Difference
Preference: Super
Cycle 1 seat hybrid
Equal variances
assumed
F
Sig.
t
df
Sig. (2tailed)
Mean
Difference
Std. Error
Difference
Lower
Upper
16.574
.000
15.604
998
.000
1.544
.099
1.350
1.739
Equal variances not
assumed
Preference: Runabout Equal variances
Sport 2 seat hybrid
assumed
.119
.730
Equal variances not
assumed
Preference: Runabout Equal variances
with Luggage 2 seat assumed
hybrid
Equal variances not
assumed
15.025
Preference: Economy Equal variances
4 seat hybrid
assumed
.001
.000
.976
Equal variances not
assumed
Preference: Standard 4Equal variances
seat hybrid
assumed
9.312
.002
Equal variances not
assumed
15.522
937.283 .000
1.544
.100
1.349
1.740
8.552
998
.000
.894
.105
.689
1.100
8.555
996.440 .000
.894
.105
.689
1.100
-4.231
998
.000
-.495
.117
-.725
-.266
-4.247
988.825 .000
-.495
.117
-.724
-.267
-1.069
998
.285
-.124
.116
-.353
.104
-1.069
995.521 .285
-.124
.116
-.353
.104
-8.006
998
.000
-.799
.100
-.994
-.603
-7.981
969.157 .000
-.799
.100
-.995
-.602
Oneway
ANOVA
Preference: Super Cycle 1 seat
hybrid
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
463.814
4
115.953
44.813
.000
Within Groups
2574.570
995
2.588
Total
3038.384
999
Preference: Runabout Sport 2 seat
hybrid
Between Groups
433.981
4
108.495
Within Groups
2493.263
995
2.506
Total
2927.244
999
226.344
4
56.586
3253.860
995
3.270
Total
3480.204
999
Between Groups
851.979
4
212.995
Within Groups
2525.996
995
2.539
Total
3377.975
999
Between Groups
284.940
4
71.235
Within Groups
2355.460
995
2.367
Total
2640.400
999
Preference: Runabout with Luggage Between Groups
2 seat hybrid
Within Groups
Preference: Economy 4 seat hybrid
Preference: Standard 4 seat hybrid
Post Hoc Test
Homogeneous Subsets
AGE:
Preference: Super Cycle 1 seat hybrid
Duncana,b
Age
N
Subset for alpha = 0.05
43.298
.000
17.303
.000
83.900
.000
30.091
.000
1
2
57
239
42
256
3.21
70
210
3.28
30
174
3.33
21
121
Sig.
3
2.55
4.94
1.000
.500
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 186.124.
b. The group sizes are unequal. The harmonic mean of the group sizes is
used. Type I error levels are not guaranteed.
Preference: Runabout Sport 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Age
N
1
57
239
3.42
30
174
2
4.17
3
42
256
4.34
70
210
4.37
21
121
Sig.
5.73
1.000
.242
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 186.124.
b. The group sizes are unequal. The harmonic mean of the group sizes is
used. Type I error levels are not guaranteed.
Preference: Runabout with Luggage 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Age
N
1
57
239
3.43
70
210
3.51
42
256
3.52
21
121
30
174
Sig.
2
3
4.25
4.67
.660
1.000
Means for groups in homogeneous subsets are displayed.
1.000
Preference: Runabout with Luggage 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Age
N
1
57
239
3.43
70
210
3.51
42
256
3.52
21
121
30
174
Sig.
2
3
4.25
4.67
.660
1.000
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 186.124.
b. The group sizes are unequal. The harmonic mean of the group sizes is
used. Type I error levels are not guaranteed.
Preference: Economy 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Age
N
1
21
121
1.82
2
3
4
5
30
174
42
256
70
210
57
239
Sig.
2.48
3.55
4.00
4.58
1.000
1.000
1.000
1.000
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 186.124.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not
guaranteed.
Preference: Standard 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Age
N
1
21
121
4.16
30
174
4.30
70
210
57
239
5.34
42
256
5.56
Sig.
2
3
4.80
.355
1.000
.177
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 186.124.
b. The group sizes are unequal. The harmonic mean of the group sizes is
used. Type I error levels are not guaranteed.
Oneway
ANOVA
Preference: Super Cycle 1 seat
Between Groups
Sum of Squares
df
Mean Square
F
Sig.
291.555
4
72.889
26.403
.000
hybrid
Preference: Runabout Sport 2 seat
hybrid
Within Groups
2746.829
995
Total
3038.384
999
Between Groups
317.914
4
79.478
Within Groups
2609.330
995
2.622
Total
2927.244
999
387.135
4
96.784
3093.069
995
3.109
Total
3480.204
999
Between Groups
815.391
4
203.848
Within Groups
2562.584
995
2.575
Total
3377.975
999
Between Groups
296.525
4
74.131
Within Groups
2343.875
995
2.356
Total
2640.400
999
Preference: Runabout with Luggage Between Groups
2 seat hybrid
Within Groups
Preference: Economy 4 seat hybrid
Preference: Standard 4 seat hybrid
Post Hoc Tests
Homogeneous Subsets
LEVEL OF EDUCATION:
2.761
30.307
.000
31.134
.000
79.150
.000
31.470
.000
Preference: Super Cycle 1 seat hybrid
Duncana,b
Subset for alpha = 0.05
Level of education
N
1
18
72
1.93
16
222
14
214
3.58
9
194
3.63
12
298
3.65
Sig.
2
3
2.69
1.000
1.000
.751
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 158.345.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error
levels are not guaranteed.
Preference: Runabout Sport 2 seat hybrid
Duncana,b
Level of education
N
Subset for alpha = 0.05
1
2
18
72
3.29
16
222
3.43
14
214
4.56
12
298
4.61
9
194
4.73
Sig.
.439
.381
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 158.345.
b. The group sizes are unequal. The harmonic mean of the group sizes is used.
Type I error levels are not guaranteed.
Preference: Runabout with Luggage 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Level of education
N
1
18
72
3.15
12
298
3.22
9
194
3.32
16
222
2
4.35
14
214
Sig.
4.63
.418
.159
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 158.345.
b. The group sizes are unequal. The harmonic mean of the group sizes is used.
Type I error levels are not guaranteed.
Preference: Economy 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Level of education
N
1
12
298
2.66
9
194
2.70
14
214
18
72
4.60
16
222
4.83
Sig.
2
3
3.62
.825
Means for groups in homogeneous subsets are displayed.
1.000
.199
Preference: Economy 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Level of education
N
1
12
298
2.66
9
194
2.70
14
214
18
72
4.60
16
222
4.83
Sig.
2
3
3.62
.825
1.000
.199
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 158.345.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error
levels are not guaranteed.
Preference: Standard 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Level of education
N
1
9
194
4.08
2
3
12
298
4.87
14
214
4.93
18
72
5.61
16
222
5.68
Sig.
1.000
.730
.708
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 158.345.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error
levels are not guaranteed.
Oneway
ANOVA
Preference: Super Cycle 1 seat
hybrid
Preference: Runabout Sport 2 seat
hybrid
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
579.942
4
144.986
58.680
.000
Within Groups
2458.442
995
2.471
Total
3038.384
999
Between Groups
584.079
4
146.020
62.006
.000
Within Groups
2343.165
995
2.355
Total
2927.244
999
849.338
4
80.305
.000
Preference: Runabout with Luggage Between Groups
212.335
2 seat hybrid
Preference: Economy 4 seat hybrid
Preference: Standard 4 seat hybrid
Within Groups
2630.866
995
Total
3480.204
999
Between Groups
1073.743
4
268.436
Within Groups
2304.232
995
2.316
Total
3377.975
999
Between Groups
125.811
4
31.453
Within Groups
2514.589
995
2.527
Total
2640.400
999
Post Hoc Tests
Homogeneous Subsets
INCOME LEVEL
Preference: Super Cycle 1 seat hybrid
Duncana,b
Subset for alpha = 0.05
Income level
N
1
2
150.0
70
1.80
62.5
194
2.57
100.0
137
2.62
3
4
2.644
115.914
.000
12.446
.000
37.5
343
20.0
256
Sig.
3.57
4.25
1.000
.769
1.000
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 148.981.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels
are not guaranteed.
Preference: Runabout Sport 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Income level
N
1
150.0
70
2.64
100.0
137
3.47
62.5
194
3.61
37.5
343
20.0
256
Sig.
2
3
4
4.67
5.09
1.000
.452
Means for groups in homogeneous subsets are displayed.
1.000
1.000
Preference: Runabout Sport 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Income level
N
1
150.0
70
2.64
100.0
137
3.47
62.5
194
3.61
37.5
343
20.0
256
Sig.
2
3
4
4.67
5.09
1.000
.452
1.000
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 148.981.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels
are not guaranteed.
Preference: Runabout with Luggage 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Income level
N
1
150.0
70
2.34
2
3
100.0
137
20.0
256
62.5
194
4.45
37.5
343
4.71
Sig.
2.61
3.07
.163
1.000
.172
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 148.981.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type
I error levels are not guaranteed.
Preference: Economy 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Income level
N
1
20.0
256
2.68
37.5
343
2.86
62.5
194
150.0
70
5.24
100.0
137
5.50
Sig.
2
3
3.64
.317
1.000
.151
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 148.981.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type
I error levels are not guaranteed.
Preference: Standard 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Income level
N
1
20.0
256
4.49
37.5
343
62.5
194
5.23
100.0
137
5.31
150.0
70
Sig.
2
3
4
4.87
5.31
5.67
1.000
1.000
.657
.053
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 148.981.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels
are not guaranteed.
Oneway
ANOVA
Preference: Super Cycle 1 seat
hybrid
Preference: Runabout Sport 2 seat
hybrid
Sum of Squares
df
Mean Square
F
Sig.
Between Groups
466.220
4
116.555
45.087
.000
Within Groups
2572.164
995
2.585
Total
3038.384
999
Between Groups
527.211
4
131.803
54.642
.000
Within Groups
2400.033
995
2.412
Total
2927.244
999
981.507
4
245.377
97.711
.000
2498.697
995
2.511
Total
3480.204
999
Between Groups
431.344
4
107.836
36.413
.000
Within Groups
2946.631
995
2.961
Total
3377.975
999
Between Groups
630.828
4
157.707
78.086
.000
Within Groups
2009.572
995
2.020
Total
2640.400
999
Preference: Runabout with Luggage Between Groups
2 seat hybrid
Within Groups
Preference: Economy 4 seat hybrid
Preference: Standard 4 seat hybrid
Post Hoc Tests
Homogeneous Subsets
HOMETOWN SIZE:
Preference: Super Cycle 1 seat hybrid
Duncana,b
Subset for alpha = 0.05
Size of home town or city
N
1
5
154
2.38
55
177
2.58
300
176
3.22
750
226
3.42
1500
267
Sig.
2
3
4.25
.211
.236
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 192.344.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels
are not guaranteed.
Preference: Runabout Sport 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Size of home town or city
N
1
5
154
3.23
55
177
3.51
300
176
4.26
750
226
4.41
1500
267
Sig.
2
3
5.25
.083
.358
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 192.344.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels
are not guaranteed.
Preference: Runabout with Luggage 2 seat hybrid
Duncana,b
Subset for alpha = 0.05
Size of home town or city
N
1
300
176
2.32
5
154
2
3.21
3
4
55
177
750
226
1500
267
Sig.
3.22
4.23
5.08
1.000
.938
1.000
1.000
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 192.344.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not
guaranteed.
Preference: Economy 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Size of home town or city
N
1
1500
267
2.54
5
154
3.38
55
177
3.53
300
176
4.06
750
226
4.24
Sig.
1.000
2
.397
3
.303
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 192.344.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels
are not guaranteed.
Preference: Standard 4 seat hybrid
Duncana,b
Subset for alpha = 0.05
Size of home town or city
N
1
1500
267
3.64
5
154
5.42
300
176
5.43
55
177
5.44
750
226
5.46
Sig.
1.000
2
.815
Means for groups in homogeneous subsets are displayed.
a. Uses Harmonic Mean Sample Size = 192.344.
b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I
error levels are not guaranteed.
Chapter 18:
Crosstabs
Question 1:
Case Processing Summary
Cases
Valid
Missing
Total
N
Percent
N
Percent
N
Percent
1000
100.0%
0
.0%
1000
100.0%
Size of home town or city * Favorite 1000
television show type
100.0%
0
.0%
1000
100.0%
Age * Favorite television show type 1000
100.0%
0
.0%
1000
100.0%
Level of education * Favorite
television show type
1000
100.0%
0
.0%
1000
100.0%
Income level * Favorite television
show type
1000
100.0%
0
.0%
1000
100.0%
Marital status * Favorite television
show type
Marital status * Favorite television show type
Crosstab
Favorite television show type
Marital status
Unmarried
Married
Total
Comedy
Drama
Movies/MiniSeries
News/Documenta
ry
Reality
Science-Fiction
Sports
Total
Count
91
84
91
48
67
51
55
487
% within Marital status
18.7%
17.2%
18.7%
9.9%
13.8%
10.5%
11.3%
100.0%
Count
100
72
106
50
74
59
52
513
% within Marital status
19.5%
14.0%
20.7%
9.7%
14.4%
11.5%
10.1%
100.0%
Count
191
156
197
98
141
110
107
1000
% within Marital status
19.1%
15.6%
19.7%
9.8%
14.1%
11.0%
10.7%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
2.869a
6
.825
Likelihood Ratio
2.870
6
.825
Linear-by-Linear Association
.010
1
.919
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 47.73.
Size of home town or city * Favorite television show type
Crosstab
Favorite television show type
Size of home town or city 5
55
300
750
1500
Total
Comedy
Drama
Movies/MiniSeries
News/Document
ary
Reality
Science-Fiction Sports
Total
32
20
34
19
17
13
19
154
% within Size of home town 20.8%
or city
13.0%
22.1%
12.3%
11.0%
8.4%
12.3%
100.0%
Count
30
40
13
18
24
22
177
% within Size of home town 16.9%
or city
16.9%
22.6%
7.3%
10.2%
13.6%
12.4%
100.0%
Count
29
29
18
30
19
20
176
% within Size of home town 17.6%
or city
16.5%
16.5%
10.2%
17.0%
10.8%
11.4%
100.0%
Count
45
40
19
30
27
21
226
% within Size of home town 19.5%
or city
19.9%
17.7%
8.4%
13.3%
11.9%
9.3%
100.0%
Count
32
54
29
46
27
25
267
% within Size of home town 20.2%
or city
12.0%
20.2%
10.9%
17.2%
10.1%
9.4%
100.0%
Count
156
197
98
141
110
107
1000
15.6%
19.7%
9.8%
14.1%
11.0%
10.7%
100.0%
Count
30
31
44
54
191
% within Size of home town 19.1%
or city
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
22.638a
24
.541
Likelihood Ratio
22.827
24
.530
Linear-by-Linear Association
.068
1
.794
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 15.09.
Age * Favorite television show type
Crosstab
Favorite television show type
Age
21
30
42
57
Comedy
Drama
Movies/Mini-Series
News/Documentary
Reality
Science-Fiction
Sports
Total
Count
14
9
8
3
30
46
11
121
% within Age
11.6%
7.4%
6.6%
2.5%
24.8%
38.0%
9.1%
100.0%
Count
31
31
32
4
21
11
44
174
% within Age
17.8%
17.8%
18.4%
2.3%
12.1%
6.3%
25.3%
100.0%
Count
63
49
63
20
29
17
15
256
% within Age
24.6%
19.1%
24.6%
7.8%
11.3%
6.6%
5.9%
100.0%
Count
49
42
53
31
30
15
19
239
% within Age
20.5%
17.6%
22.2%
13.0%
12.6%
6.3%
7.9%
100.0%
70
Total
Count
34
25
41
40
31
21
18
210
% within Age
16.2%
11.9%
19.5%
19.0%
14.8%
10.0%
8.6%
100.0%
Count
191
156
197
98
141
110
107
1000
% within Age
19.1%
15.6%
19.7%
9.8%
14.1%
11.0%
10.7%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
220.644a
24
.000
Likelihood Ratio
189.507
24
.000
Linear-by-Linear Association
15.663
1
.000
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 11.86.
Level of education * Favorite television show type
Crosstab
Favorite television show type
Level of education
9
12
14
16
18
Total
Comedy
Drama
Movies/MiniSeries
News/Documenta
ry
Reality
Science-Fiction
Sports
Total
26
15
11
13
81
30
18
194
% within Level of education 13.4%
7.7%
5.7%
6.7%
41.8%
15.5%
9.3%
100.0%
Count
21
132
14
40
49
24
298
% within Level of education 6.0%
7.0%
44.3%
4.7%
13.4%
16.4%
8.1%
100.0%
Count
8
29
16
6
13
15
214
% within Level of education 59.3%
3.7%
13.6%
7.5%
2.8%
6.1%
7.0%
100.0%
Count
110
19
24
8
10
36
222
% within Level of education 6.8%
49.5%
8.6%
10.8%
3.6%
4.5%
16.2%
100.0%
Count
2
6
31
6
8
14
72
% within Level of education 6.9%
2.8%
8.3%
43.1%
8.3%
11.1%
19.4%
100.0%
Count
156
197
98
141
110
107
1000
15.6%
19.7%
9.8%
14.1%
11.0%
10.7%
100.0%
Count
18
127
15
5
191
% within Level of education 19.1%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
858.425a
24
.000
Likelihood Ratio
703.321
24
.000
Linear-by-Linear Association
23.040
1
.000
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 7.06.
Income level * Favorite television show type
Crosstab
Favorite television show type
Income level
20.0
37.5
62.5
100.0
Comedy
Drama
Movies/MiniSeries
News/Documentar
y
Reality
Science-Fiction
Sports
Total
Count
35
29
46
16
53
53
24
256
% within Income level
13.7%
11.3%
18.0%
6.3%
20.7%
20.7%
9.4%
100.0%
Count
72
45
79
23
50
29
45
343
% within Income level
21.0%
13.1%
23.0%
6.7%
14.6%
8.5%
13.1%
100.0%
Count
48
38
43
18
19
10
18
194
% within Income level
24.7%
19.6%
22.2%
9.3%
9.8%
5.2%
9.3%
100.0%
Count
24
32
21
23
13
11
13
137
150.0
Total
% within Income level
17.5%
23.4%
15.3%
16.8%
9.5%
8.0%
9.5%
100.0%
Count
12
12
8
18
6
7
7
70
% within Income level
17.1%
17.1%
11.4%
25.7%
8.6%
10.0%
10.0%
100.0%
Count
191
156
197
98
141
110
107
1000
% within Income level
19.1%
15.6%
19.7%
9.8%
14.1%
11.0%
10.7%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
106.267a
24
.000
Likelihood Ratio
97.413
24
.000
Linear-by-Linear Association
7.165
1
.007
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 6.86.
Case Processing Summary
Cases
Valid
N
Marital status * Favorite radio genre 1000
Missing
Total
Percent
N
Percent
N
Percent
100.0%
0
.0%
1000
100.0%
Size of home town or city * Favorite 1000
radio genre
100.0%
0
.0%
1000
100.0%
Age * Favorite radio genre
1000
100.0%
0
.0%
1000
100.0%
Level of education * Favorite radio
genre
1000
100.0%
0
.0%
1000
100.0%
Income level * Favorite radio genre
1000
100.0%
0
.0%
1000
100.0%
Classic Pop &
Rock
Country
Easy listening
Jazz & Blues
Pop & Chart
Talk
Total
Count
31
94
120
89
90
63
487
% within Marital status
6.4%
19.3%
24.6%
18.3%
18.5%
12.9%
100.0%
Count
43
97
109
102
95
67
513
% within Marital status
8.4%
18.9%
21.2%
19.9%
18.5%
13.1%
100.0%
Count
74
191
229
191
185
130
1000
% within Marital status
7.4%
19.1%
22.9%
19.1%
18.5%
13.0%
100.0%
Marital status * Favorite radio genre
Crosstab
Favorite radio genre
Marital status
Unmarried
Married
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
2.991a
5
.701
Likelihood Ratio
2.998
5
.700
Linear-by-Linear Association
.028
1
.866
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 36.04.
Size of home town or city * Favorite radio genre
Crosstab
Favorite radio genre
Size of home town or city
5
55
300
Classic Pop &
Rock
Country
Easy listening
Jazz & Blues
Pop & Chart
Talk
Total
Count
5
30
32
32
30
25
154
% within Size of home town
or city
3.2%
19.5%
20.8%
20.8%
19.5%
16.2%
100.0%
Count
11
41
28
38
34
25
177
% within Size of home town
or city
6.2%
23.2%
15.8%
21.5%
19.2%
14.1%
100.0%
Count
12
30
43
32
37
22
176
% within Size of home town
or city
6.8%
17.0%
24.4%
18.2%
21.0%
12.5%
100.0%
Count
21
42
57
41
39
26
226
% within Size of home town
or city
9.3%
18.6%
25.2%
18.1%
17.3%
11.5%
100.0%
Count
25
48
69
48
45
32
267
% within Size of home town
or city
9.4%
18.0%
25.8%
18.0%
16.9%
12.0%
100.0%
Count
74
191
229
191
185
130
1000
% within Size of home town
or city
7.4%
19.1%
22.9%
19.1%
18.5%
13.0%
100.0%
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
18.997a
20
.522
Likelihood Ratio
20.030
20
.456
Linear-by-Linear Association
4.170
1
.041
N of Valid Cases
1000
750
1500
Total
Chi-Square Tests
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 11.40.
Age * Favorite radio genre
Crosstab
Favorite radio genre
Age
21
30
42
57
70
Total
Classic Pop & Rock
Country
Easy listening
Jazz & Blues
Pop & Chart
Talk
Total
Count
1
13
4
4
87
12
121
% within Age
.8%
10.7%
3.3%
3.3%
71.9%
9.9%
100.0%
Count
9
33
16
12
34
70
174
% within Age
5.2%
19.0%
9.2%
6.9%
19.5%
40.2%
100.0%
Count
12
96
24
83
27
14
256
% within Age
4.7%
37.5%
9.4%
32.4%
10.5%
5.5%
100.0%
Count
26
30
85
52
30
16
239
% within Age
10.9%
12.6%
35.6%
21.8%
12.6%
6.7%
100.0%
Count
26
19
100
40
7
18
210
% within Age
12.4%
9.0%
47.6%
19.0%
3.3%
8.6%
100.0%
Count
74
191
229
191
185
130
1000
% within Age
7.4%
19.1%
22.9%
19.1%
18.5%
13.0%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
617.649a
20
.000
Likelihood Ratio
535.429
20
.000
Linear-by-Linear Association
100.435
1
.000
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 8.95.
Level of education * Favorite radio genre
Crosstab
Favorite radio genre
Level of education
9
12
14
16
Classic Pop &
Rock
Country
Easy listening
Jazz & Blues
Pop & Chart
Talk
Total
Count
11
29
59
37
43
15
194
% within Level of education
5.7%
14.9%
30.4%
19.1%
22.2%
7.7%
100.0%
Count
13
78
61
46
64
36
298
% within Level of education
4.4%
26.2%
20.5%
15.4%
21.5%
12.1%
100.0%
Count
22
51
35
37
33
36
214
% within Level of education
10.3%
23.8%
16.4%
17.3%
15.4%
16.8%
100.0%
Count
21
27
54
46
33
41
222
% within Level of education
9.5%
12.2%
24.3%
20.7%
14.9%
18.5%
100.0%
18
Total
Count
7
6
20
25
12
2
72
% within Level of education
9.7%
8.3%
27.8%
34.7%
16.7%
2.8%
100.0%
Count
74
191
229
191
185
130
1000
% within Level of education
7.4%
19.1%
22.9%
19.1%
18.5%
13.0%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
76.476a
20
.000
Likelihood Ratio
78.957
20
.000
Linear-by-Linear Association
.105
1
.746
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.33.
Income level * Favorite radio genre
Crosstab
Favorite radio genre
Income level
20.0
37.5
62.5
100.0
150.0
Total
Classic Pop &
Rock
Country
Easy listening
Jazz & Blues
Pop & Chart
Talk
Total
Count
13
35
66
28
80
34
256
% within Income level
5.1%
13.7%
25.8%
10.9%
31.3%
13.3%
100.0%
Count
22
78
61
50
73
59
343
% within Income level
6.4%
22.7%
17.8%
14.6%
21.3%
17.2%
100.0%
Count
23
35
43
52
14
27
194
% within Income level
11.9%
18.0%
22.2%
26.8%
7.2%
13.9%
100.0%
Count
13
37
30
42
9
6
137
% within Income level
9.5%
27.0%
21.9%
30.7%
6.6%
4.4%
100.0%
Count
3
6
29
19
9
4
70
% within Income level
4.3%
8.6%
41.4%
27.1%
12.9%
5.7%
100.0%
Count
74
191
229
191
185
130
1000
% within Income level
7.4%
19.1%
22.9%
19.1%
18.5%
13.0%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
134.782a
20
.000
Likelihood Ratio
139.763
20
.000
Linear-by-Linear Association
17.453
1
.000
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.18.
Case Processing Summary
Cases
Valid
Missing
Total
N
Percent
N Percent
N
Percent
Marital status * Favorite magazine type
1000
100.0%
0 .0%
1000
100.0%
Size of home town or city * Favorite magazine type
1000
100.0%
0 .0%
1000
100.0%
Age * Favorite magazine type
1000
100.0%
0 .0%
1000
100.0%
Level of education * Favorite magazine type
1000
100.0%
0 .0%
1000
100.0%
Income level * Favorite magazine type
1000
100.0%
0 .0%
1000
100.0%
Marital status * Favorite magazine type
Crosstab
Favorite magazine type
Business &
Money
Music &
Family &
Entertainment Parenting
Sports &
Outdoors
Home &
Garden
Trucks-Cars
Cooking-Food &
& Wine
Motorcycles
News-Politics
& Current
Events
Total
50
142
91
48
34
31
55
36
487
% within Marital
status
10.3%
29.2%
18.7%
9.9%
7.0%
6.4%
11.3%
7.4%
100.0%
Count
48
139
92
39
55
56
43
41
513
% within Marital
status
9.4%
27.1%
17.9%
7.6%
10.7%
10.9%
8.4%
8.0%
100.0%
Count
98
281
183
87
89
87
98
77
1000
% within Marital
status
9.8%
28.1%
18.3%
8.7%
8.9%
8.7%
9.8%
7.7%
100.0%
Marital status Unmarried Count
Married
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
14.276a
7
.046
Likelihood Ratio
14.421
7
.044
Linear-by-Linear Association
1.056
1
.304
N of Valid Cases
1000
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
14.276a
7
.046
Likelihood Ratio
14.421
7
.044
Linear-by-Linear Association
1.056
1
.304
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 37.50.
Size of home town or city * Favorite magazine type
Crosstab
Favorite magazine type
Size of home town or 5
city
55
300
Business &
Money
Music &
Family &
Entertainment Parenting
Sports &
Outdoors
Home &
Garden
Trucks-Cars News-Politics
Cooking&
& Current
Food & Wine Motorcycles Events
Total
17
31
32
11
19
14
18
12
154
% within Size of home 11.0%
town or city
20.1%
20.8%
7.1%
12.3%
9.1%
11.7%
7.8%
100.0%
Count
47
34
17
19
18
13
12
177
% within Size of home 9.6%
town or city
26.6%
19.2%
9.6%
10.7%
10.2%
7.3%
6.8%
100.0%
Count
52
35
19
13
9
20
10
176
29.5%
19.9%
10.8%
7.4%
5.1%
11.4%
5.7%
100.0%
Count
17
18
% within Size of home 10.2%
town or city
750
Count
20
65
49
20
17
16
21
18
226
28.8%
21.7%
8.8%
7.5%
7.1%
9.3%
8.0%
100.0%
86
33
20
21
30
26
25
267
% within Size of home 9.7%
town or city
32.2%
12.4%
7.5%
7.9%
11.2%
9.7%
9.4%
100.0%
Count
281
183
87
89
87
98
77
1000
28.1%
18.3%
8.7%
8.9%
8.7%
9.8%
7.7%
100.0%
% within Size of home 8.8%
town or city
1500 Count
Total
26
98
% within Size of home 9.8%
town or city
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
29.182a
28
.403
Likelihood Ratio
30.242
28
.352
Linear-by-Linear Association
.094
1
.759
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 11.86.
Age * Favorite magazine type
Crosstab
Favorite magazine type
Age
21
30
42
57
70
Total
Business &
Money
Music &
Entertainment
Family &
Parenting
Sports &
Outdoors
Home &
Garden
Cooking-Food Trucks-Cars & News-Politics &
& Wine
Motorcycles
Current Events Total
0
44
10
26
0
8
33
0
121
% within Age .0%
36.4%
8.3%
21.5%
.0%
6.6%
27.3%
.0%
100.0%
Count
53
62
7
9
16
13
7
174
% within Age 4.0%
30.5%
35.6%
4.0%
5.2%
9.2%
7.5%
4.0%
100.0%
Count
51
85
24
23
34
14
15
256
% within Age 3.9%
19.9%
33.2%
9.4%
9.0%
13.3%
5.5%
5.9%
100.0%
Count
54
13
17
49
16
24
16
239
% within Age 20.9%
22.6%
5.4%
7.1%
20.5%
6.7%
10.0%
6.7%
100.0%
Count
79
13
13
8
13
14
39
210
% within Age 14.8%
37.6%
6.2%
6.2%
3.8%
6.2%
6.7%
18.6%
100.0%
Count
281
183
87
89
87
98
77
1000
28.1%
18.3%
8.7%
8.9%
8.7%
9.8%
7.7%
100.0%
Count
7
10
50
31
98
% within Age 9.8%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
372.134a
28
.000
Likelihood Ratio
370.691
28
.000
Linear-by-Linear Association
.048
1
.826
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 9.32.
Level of education * Favorite magazine type
Crosstab
Favorite magazine type
Level of
education
9
12
14
Business &
Money
Music &
Family &
Entertainment Parenting
Sports &
Outdoors
Home &
Garden
Trucks-Cars News-Politics
Cooking-Food &
& Current
& Wine
Motorcycles Events
Total
Count
17
78
23
24
15
8
16
13
194
% within Level of
education
8.8%
40.2%
11.9%
12.4%
7.7%
4.1%
8.2%
6.7%
100.0%
Count
34
135
19
31
11
20
36
12
298
% within Level of
education
11.4%
45.3%
6.4%
10.4%
3.7%
6.7%
12.1%
4.0%
100.0%
Count
4
38
53
17
26
21
31
24
214
16
18
Total
% within Level of
education
1.9%
17.8%
24.8%
7.9%
12.1%
9.8%
14.5%
11.2%
100.0%
Count
31
19
69
14
29
27
9
24
222
% within Level of
education
14.0%
8.6%
31.1%
6.3%
13.1%
12.2%
4.1%
10.8%
100.0%
Count
12
11
19
1
8
11
6
4
72
% within Level of
education
16.7%
15.3%
26.4%
1.4%
11.1%
15.3%
8.3%
5.6%
100.0%
Count
98
281
183
87
89
87
98
77
1000
% within Level of
education
9.8%
28.1%
18.3%
8.7%
8.9%
8.7%
9.8%
7.7%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
227.243a
28
.000
Likelihood Ratio
250.719
28
.000
Linear-by-Linear Association
13.196
1
.000
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.54.
Income level * Favorite magazine type
Crosstab
Favorite magazine type
Income level 20.0
37.5
62.5
Business &
Money
Music &
Family &
Entertainment Parenting
Sports &
Outdoors
Home &
Garden
News-Politics
Cooking-Food Trucks-Cars & & Current
& Wine
Motorcycles Events
Total
Count
7
108
27
30
11
18
41
14
256
% within Income
level
2.7%
42.2%
10.5%
11.7%
4.3%
7.0%
16.0%
5.5%
100.0%
Count
14
125
60
36
24
23
32
29
343
% within Income
level
4.1%
36.4%
17.5%
10.5%
7.0%
6.7%
9.3%
8.5%
100.0%
Count
10
33
65
13
33
13
11
16
194
% within Income
level
5.2%
17.0%
33.5%
6.7%
17.0%
6.7%
5.7%
8.2%
100.0%
36
11
28
7
18
17
11
9
137
26.3%
8.0%
20.4%
5.1%
13.1%
12.4%
8.0%
6.6%
100.0%
31
4
3
1
3
16
3
9
70
% within Income
level
44.3%
5.7%
4.3%
1.4%
4.3%
22.9%
4.3%
12.9%
100.0%
Count
98
281
183
87
89
87
98
77
1000
% within Income
level
9.8%
28.1%
18.3%
8.7%
8.9%
8.7%
9.8%
7.7%
100.0%
100.0 Count
% within Income
level
150.0 Count
Total
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
339.500a
28
.000
Likelihood Ratio
304.610
28
.000
Linear-by-Linear Association
.380
1
.538
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.39.
Case Processing Summary
Cases
Valid
Missing
Total
N
Percent
N
Percent
N
Percent
1000
100.0%
0
.0%
1000
100.0%
Size of home town or city * Favorite 1000
local newspaper section
100.0%
0
.0%
1000
100.0%
Age * Favorite local newspaper
section
1000
100.0%
0
.0%
1000
100.0%
Level of education * Favorite local
newspaper section
1000
100.0%
0
.0%
1000
100.0%
Income level * Favorite local
newspaper section
1000
100.0%
0
.0%
1000
100.0%
Marital status * Favorite local
newspaper section
Marital status * Favorite local newspaper section
Crosstab
Favorite local newspaper section
Marital status
Unmarried
Married
Total
Editorial
Business
Local news
National news
Sports
Entertainment
Total
Count
37
44
128
93
103
82
487
% within Marital status
7.6%
9.0%
26.3%
19.1%
21.1%
16.8%
100.0%
Count
41
53
121
88
110
100
513
% within Marital status
8.0%
10.3%
23.6%
17.2%
21.4%
19.5%
100.0%
Count
78
97
249
181
213
182
1000
% within Marital status
7.8%
9.7%
24.9%
18.1%
21.3%
18.2%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
2.711a
5
.744
Likelihood Ratio
2.714
5
.744
Linear-by-Linear Association
.225
1
.635
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 37.99.
Size of home town or city * Favorite local newspaper section
Crosstab
Favorite local newspaper section
Size of home town or city
5
55
300
750
1500
Total
Editorial
Business
Local news
National news
Sports
Entertainment
Total
14
13
35
31
34
27
154
% within Size of home town or 9.1%
city
8.4%
22.7%
20.1%
22.1%
17.5%
100.0%
Count
21
42
34
46
25
177
% within Size of home town or 5.1%
city
11.9%
23.7%
19.2%
26.0%
14.1%
100.0%
Count
20
37
25
37
38
176
% within Size of home town or 10.8%
city
11.4%
21.0%
14.2%
21.0%
21.6%
100.0%
Count
19
70
36
46
38
226
% within Size of home town or 7.5%
city
8.4%
31.0%
15.9%
20.4%
16.8%
100.0%
Count
24
65
55
50
54
267
% within Size of home town or 7.1%
city
9.0%
24.3%
20.6%
18.7%
20.2%
100.0%
Count
97
249
181
213
182
1000
9.7%
24.9%
18.1%
21.3%
18.2%
100.0%
Count
9
19
17
19
78
% within Size of home town or 7.8%
city
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
21.043a
20
.395
Likelihood Ratio
20.891
20
.404
Linear-by-Linear Association
.138
1
.710
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 12.01.
Age * Favorite local newspaper section
Crosstab
Favorite local newspaper section
Age
21
30
42
57
Editorial
Business
Local news
National news
Sports
Entertainment
Total
Count
4
9
23
16
50
19
121
% within Age
3.3%
7.4%
19.0%
13.2%
41.3%
15.7%
100.0%
Count
10
12
25
29
68
30
174
% within Age
5.7%
6.9%
14.4%
16.7%
39.1%
17.2%
100.0%
Count
21
25
75
65
29
41
256
% within Age
8.2%
9.8%
29.3%
25.4%
11.3%
16.0%
100.0%
Count
25
33
63
39
28
51
239
% within Age
10.5%
13.8%
26.4%
16.3%
11.7%
21.3%
100.0%
70
Total
Count
18
18
63
32
38
41
210
% within Age
8.6%
8.6%
30.0%
15.2%
18.1%
19.5%
100.0%
Count
78
97
249
181
213
182
1000
% within Age
7.8%
9.7%
24.9%
18.1%
21.3%
18.2%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
111.977a
20
.000
Likelihood Ratio
107.601
20
.000
Linear-by-Linear Association
13.288
1
.000
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 9.44.
Level of education * Favorite local newspaper section
Crosstab
Favorite local newspaper section
Level of education
9
12
14
16
18
Total
Editorial
Business
Local news
National news
Sports
Entertainment
Total
Count
11
0
24
19
46
94
194
% within Level of education
5.7%
.0%
12.4%
9.8%
23.7%
48.5%
100.0%
Count
21
34
74
45
85
39
298
% within Level of education
7.0%
11.4%
24.8%
15.1%
28.5%
13.1%
100.0%
Count
19
26
82
18
55
14
214
% within Level of education
8.9%
12.1%
38.3%
8.4%
25.7%
6.5%
100.0%
Count
21
31
57
60
23
30
222
% within Level of education
9.5%
14.0%
25.7%
27.0%
10.4%
13.5%
100.0%
Count
6
6
12
39
4
5
72
% within Level of education
8.3%
8.3%
16.7%
54.2%
5.6%
6.9%
100.0%
Count
78
97
249
181
213
182
1000
% within Level of education
7.8%
9.7%
24.9%
18.1%
21.3%
18.2%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
295.167a
20
.000
Likelihood Ratio
281.485
20
.000
Linear-by-Linear Association
84.997
1
.000
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.62.
Income level * Favorite local newspaper section
Crosstab
Favorite local newspaper section
Income level
20.0
37.5
62.5
100.0
150.0
Editorial
Business
Local news
National news
Sports
Entertainment
Total
Count
20
20
53
32
76
55
256
% within Income level
7.8%
7.8%
20.7%
12.5%
29.7%
21.5%
100.0%
Count
22
38
81
56
85
61
343
% within Income level
6.4%
11.1%
23.6%
16.3%
24.8%
17.8%
100.0%
Count
17
15
58
45
26
33
194
% within Income level
8.8%
7.7%
29.9%
23.2%
13.4%
17.0%
100.0%
Count
15
14
35
30
19
24
137
% within Income level
10.9%
10.2%
25.5%
21.9%
13.9%
17.5%
100.0%
Count
4
10
22
18
7
9
70
Total
% within Income level
5.7%
14.3%
31.4%
25.7%
10.0%
12.9%
100.0%
Count
78
97
249
181
213
182
1000
% within Income level
7.8%
9.7%
24.9%
18.1%
21.3%
18.2%
100.0%
Chi-Square Tests
Value
df
Asymp. Sig. (2-sided)
Pearson Chi-Square
50.174a
20
.000
Likelihood Ratio
51.304
20
.000
Linear-by-Linear Association
11.435
1
.001
N of Valid Cases
1000
a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 5.46.
Questions 2:
Correlations: Table 2.1
Preference: Super Cycle 1
seat hybrid
Pearson Correlation
Preference:
Super Cycle 1
seat hybrid
Life Style:
Novelist
Life Style:
Innovator
Life Style:
Trendsetter
Life Style:
Forerunner
Life Style:
Mainstreamer
Life Style:
Classic
1
.788**
.495**
.195**
-.315**
-.417**
-.378**
.000
.000
.000
.000
.000
.000
Sig. (2-tailed)
Life Style: Novelist
Life Style: Innovator
Life Style: Trendsetter
Life Style: Forerunner
Life Style: Mainstreamer
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.788**
1
.415**
.179**
-.278**
-.342**
-.303**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.495**
.415**
1
.136**
-.233**
-.280**
-.783**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.195**
.179**
.136**
1
-.170**
-.147**
-.087**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.006
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.315**
-.278**
-.233**
-.170**
1
.279**
.199**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.417**
-.342**
-.280**
-.147**
.279**
1
.210**
Life Style: Classic
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.378**
-.303**
-.783**
-.087**
.199**
.210**
1
Sig. (2-tailed)
.000
.000
.000
.006
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Life Style:
Innovator
Life Style:
Trendsetter
Life Style:
Forerunner
Life Style:
Mainstreamer
Life Style:
Classic
.547**
.731**
.218**
-.331**
-.403**
-.577**
.000
.000
.000
.000
.000
.000
**. Correlation is significant at the 0.01 level (2-tailed)
Correlations: Table 2.2
Preference:
Runabout Sport Life Style:
2 seat hybrid
Novelist
Preference: Runabout Sport Pearson Correlation
2 seat hybrid
Sig. (2-tailed)
Life Style: Novelist
Life Style: Innovator
Life Style: Trendsetter
1
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.547**
1
.415**
.179**
-.278**
-.342**
-.303**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.731**
.415**
1
.136**
-.233**
-.280**
-.783**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.218**
.179**
.136**
1
-.170**
-.147**
-.087**
Life Style: Forerunner
Life Style: Mainstreamer
Life Style: Classic
Sig. (2-tailed)
.000
.000
.000
.000
.000
.006
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.331**
-.278**
-.233**
-.170**
1
.279**
.199**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.403**
-.342**
-.280**
-.147**
.279**
1
.210**
Sig. (2-tailed)
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.577**
-.303**
-.783**
-.087**
.199**
.210**
1
Sig. (2-tailed)
.000
.000
.000
.006
.000
.000
N
1000
1000
1000
1000
1000
1000
**. Correlation is significant at the 0.01 level (2-tailed).
.000
1000
Correlations: Table 2.3
Preference: Runabout with
Luggage 2 seat hybrid
Pearson Correlation
Preference:
Runabout with
Luggage 2 seat
hybrid
Life Style:
Novelist
Life Style:
Innovator
Life Style:
Trendsetter
Life Style:
Forerunner
Life Style:
Mainstreamer
Life Style:
Classic
1
.119**
.140**
.719**
-.228**
-.195**
-.070*
.000
.000
.000
.000
.000
.027
Sig. (2-tailed)
Life Style: Novelist
Life Style: Innovator
Life Style: Trendsetter
Life Style: Forerunner
Life Style: Mainstreamer
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.119**
1
.415**
.179**
-.278**
-.342**
-.303**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.140**
.415**
1
.136**
-.233**
-.280**
-.783**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.719**
.179**
.136**
1
-.170**
-.147**
-.087**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.006
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.228**
-.278**
-.233**
-.170**
1
.279**
.199**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.195**
-.342**
-.280**
-.147**
.279**
1
.210**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
Life Style: Classic
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.070*
-.303**
-.783**
-.087**
.199**
.210**
1
Sig. (2-tailed)
.027
.000
.000
.006
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Life Style:
Innovator
Life Style:
Trendsetter
Life Style:
Forerunner
Life Style:
Mainstreamer
Life Style:
Classic
-.352**
-.306**
-.179**
.731**
.366**
.227**
.000
.000
.000
.000
.000
.000
**. Correlation is significant at the 0.01 level (2-tailed).
*. Correlation is significant at the 0.05 level (2-tailed).
Correlations: Table 2.4
Preference:
Economy 4 seat Life Style:
hybrid
Novelist
Preference: Economy 4 seat Pearson Correlation
hybrid
Sig. (2-tailed)
Life Style: Novelist
Life Style: Innovator
Life Style: Trendsetter
1
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.352**
1
.415**
.179**
-.278**
-.342**
-.303**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.306**
.415**
1
.136**
-.233**
-.280**
-.783**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.179**
.179**
.136**
1
-.170**
-.147**
-.087**
Life Style: Forerunner
Life Style: Mainstreamer
Life Style: Classic
Sig. (2-tailed)
.000
.000
.000
.000
.000
.006
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.731**
-.278**
-.233**
-.170**
1
.279**
.199**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.366**
-.342**
-.280**
-.147**
.279**
1
.210**
Sig. (2-tailed)
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.227**
-.303**
-.783**
-.087**
.199**
.210**
1
Sig. (2-tailed)
.000
.000
.000
.006
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Preference:
Standard 4 seat
hybrid
Life Style:
Novelist
Life Style:
Innovator
Life Style:
Trendsetter
Life Style:
Forerunner
Life Style:
Mainstreamer
Life Style:
Classic
1
-.424**
-.372**
-.173**
.346**
.746**
.280**
.000
.000
.000
.000
.000
.000
1000
1000
1000
1000
1000
1000
.000
**. Correlation is significant at the 0.01 level (2-tailed).
Correlations: Table 2.5
Preference: Standard 4 seat Pearson Correlation
hybrid
Sig. (2-tailed)
N
1000
Life Style: Novelist
Life Style: Innovator
Life Style: Trendsetter
Life Style: Forerunner
Life Style: Mainstreamer
Life Style: Classic
Pearson Correlation
-.424**
.415**
.179**
-.278**
-.342**
-.303**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.372**
.415**
1
.136**
-.233**
-.280**
-.783**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
-.173**
.179**
.136**
1
-.170**
-.147**
-.087**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.006
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.346**
-.278**
-.233**
-.170**
1
.279**
.199**
Sig. (2-tailed)
.000
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.746**
-.342**
-.280**
-.147**
.279**
1
.210**
Sig. (2-tailed)
.000
.000
.000
.000
.000
N
1000
1000
1000
1000
1000
1000
1000
Pearson Correlation
.280**
-.303**
-.783**
-.087**
.199**
.210**
1
Sig. (2-tailed)
.000
.000
.000
.006
.000
.000
N
1000
1000
1000
1000
1000
1000
**. Correlation is significant at the 0.01 level (2-tailed).
1
.000
1000
Chapter 19:
Regression
Variables Entered/Removeda
Super Cycle one-seater:
Model
Variables
Variables Entered Removed
1
Marital status
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
2
Income level
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
3
Size of home
town or city
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
Method
4
Age
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
5
Number of people .
in household
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
6
Level of
education
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
7
Gender
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
a. Dependent Variable: Preference: Super Cycle 1 seat hybrid
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.443a
.196
.195
1.564
2
.584b
.341
.339
1.417
3
.676c
.457
.456
1.287
4
.701d
.492
.490
1.246
5
.742e
.551
.549
1.172
6
.769f
.592
.590
1.117
7
.777g
.603
.600
1.103
a. Predictors: (Constant), Marital status
b. Predictors: (Constant), Marital status, Income level
c. Predictors: (Constant), Marital status, Income level, Size of home town or city
d. Predictors: (Constant), Marital status, Income level, Size of home town or city, Age
e. Predictors: (Constant), Marital status, Income level, Size of home town or city, Age , Number of
people in household
f. Predictors: (Constant), Marital status, Income level, Size of home town or city, Age , Number of
people in household, Level of education
g. Predictors: (Constant), Marital status, Income level, Size of home town or city, Age , Number of
people in household, Level of education, Gender
ANOVAh
Model
1
2
3
4
5
6
Sum of Squares
df
Mean Square
F
Sig.
Regression
595.918
1
595.918
243.494
.000a
Residual
2442.466
998
2.447
Total
3038.384
999
Regression
1035.309
2
517.654
257.654
.000b
Residual
2003.075
997
2.009
Total
3038.384
999
Regression
1389.303
3
463.101
279.700
.000c
Residual
1649.081
996
1.656
Total
3038.384
999
Regression
1493.891
4
373.473
240.600
.000d
Residual
1544.493
995
1.552
Total
3038.384
999
Regression
1674.027
5
334.805
243.922
.000e
Residual
1364.357
994
1.373
Total
3038.384
999
Regression
1798.973
6
299.829
240.219
.000f
Residual
1239.411
993
1.248
Total
3038.384
999
7
Regression
1832.390
7
261.770
Residual
1205.994
992
1.216
Total
3038.384
999
215.321
.000g
a. Predictors: (Constant), Marital status
b. Predictors: (Constant), Marital status, Income level
c. Predictors: (Constant), Marital status, Income level, Size of home town or city
d. Predictors: (Constant), Marital status, Income level, Size of home town or city, Age
e. Predictors: (Constant), Marital status, Income level, Size of home town or city, Age , Number of
people in household
f. Predictors: (Constant), Marital status, Income level, Size of home town or city, Age , Number of
people in household, Level of education
g. Predictors: (Constant), Marital status, Income level, Size of home town or city, Age , Number of
people in household, Level of education, Gender
h. Dependent Variable: Preference: Super Cycle 1 seat hybrid
Coefficientsa
Unstandardized Coefficients
Standardized
Coefficients
B
Std. Error
Beta
(Constant)
4.088
.071
Marital status
-1.544
.099
Model
1
-.443
t
Sig.
57.671
.000
-15.604
.000
2
3
4
5
6
(Constant)
5.046
.091
55.324
.000
Marital status
-1.491
.090
-.428
-16.618
.000
Income level
-.018
.001
-.381
-14.789
.000
(Constant)
4.335
.096
45.159
.000
Marital status
-1.407
.082
-.403
-17.222
.000
Income level
-.018
.001
-.372
-15.922
.000
Size of home town or city
.001
.000
.342
14.622
.000
(Constant)
5.138
.135
38.082
.000
Marital status
-1.408
.079
-.404
-17.800
.000
Income level
-.016
.001
-.328
-14.081
.000
Size of home town or city
.001
.000
.357
15.682
.000
Age
-.020
.002
-.191
-8.208
.000
(Constant)
6.256
.160
39.083
.000
Marital status
-.630
.101
-.181
-6.250
.000
Income level
-.016
.001
-.327
-14.960
.000
Size of home town or city
.001
.000
.354
16.552
.000
Age
-.032
.003
-.301
-12.589
.000
Number of people in
household
-.439
.038
-.348
-11.456
.000
(Constant)
8.036
.234
34.286
.000
7
Marital status
-.679
.096
-.195
-7.064
.000
Income level
-.013
.001
-.276
-12.839
.000
Size of home town or city
.001
.000
.346
16.968
.000
Age
-.034
.002
-.321
-14.043
.000
Number of people in
household
-.440
.037
-.349
-12.030
.000
Level of education
-.134
.013
-.210
-10.005
.000
(Constant)
8.271
.236
35.103
.000
Marital status
-.679
.095
-.195
-7.153
.000
Income level
-.013
.001
-.280
-13.208
.000
Size of home town or city
.001
.000
.341
16.926
.000
Age
-.034
.002
-.320
-14.141
.000
Number of people in
household
-.431
.036
-.342
-11.939
.000
Level of education
-.139
.013
-.217
-10.465
.000
Gender
-.368
.070
-.106
-5.243
.000
a. Dependent Variable: Preference: Super Cycle 1 seat hybrid
Regression
Variables Entered/Removeda
Runabout Sport two-seater:
Model
Variables
Variables Entered Removed
1
Income level
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
2
Size of home
town or city
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
3
Number of people .
in household
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
Method
4
Age
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
5
Level of
education
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
6
Gasoline
.
emissions
contribute to
global warming.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
7
Marital status
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
.
a. Dependent Variable: Preference: Runabout Sport 2 seat hybrid
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.422a
.178
.178
1.552
2
.579b
.335
.334
1.397
3
.668c
.447
.445
1.275
4
.717d
.515
.513
1.195
5
.748e
.559
.557
1.139
6
.751f
.564
.561
1.134
7
.753g
.567
.564
1.130
a. Predictors: (Constant), Income level
b. Predictors: (Constant), Income level, Size of home town or city
c. Predictors: (Constant), Income level, Size of home town or city, Number of people in household
d. Predictors: (Constant), Income level, Size of home town or city, Number of people in household,
Age
e. Predictors: (Constant), Income level, Size of home town or city, Number of people in household,
Age , Level of education
f. Predictors: (Constant), Income level, Size of home town or city, Number of people in household,
Age , Level of education, Gasoline emissions contribute to global warming.
g. Predictors: (Constant), Income level, Size of home town or city, Number of people in household,
Age , Level of education, Gasoline emissions contribute to global warming., Marital status
ANOVAh
Model
1
2
3
4
5
6
Sum of Squares
df
Mean Square
F
Sig.
Regression
522.410
1
522.410
216.799
.000a
Residual
2404.834
998
2.410
Total
2927.244
999
Regression
981.495
2
490.747
251.459
.000b
Residual
1945.749
997
1.952
Total
2927.244
999
Regression
1307.575
3
435.858
268.027
.000c
Residual
1619.669
996
1.626
Total
2927.244
999
Regression
1506.805
4
376.701
263.875
.000d
Residual
1420.439
995
1.428
Total
2927.244
999
Regression
1637.302
5
327.460
252.334
.000e
Residual
1289.942
994
1.298
Total
2927.244
999
Regression
1650.690
6
275.115
214.005
.000f
Residual
1276.554
993
1.286
Total
2927.244
999
7
Regression
1659.843
7
237.120
Residual
1267.401
992
1.278
Total
2927.244
999
185.595
.000g
a. Predictors: (Constant), Income level
b. Predictors: (Constant), Income level, Size of home town or city
c. Predictors: (Constant), Income level, Size of home town or city, Number of people in household
d. Predictors: (Constant), Income level, Size of home town or city, Number of people in household,
Age
e. Predictors: (Constant), Income level, Size of home town or city, Number of people in household,
Age , Level of education
f. Predictors: (Constant), Income level, Size of home town or city, Number of people in household,
Age , Level of education, Gasoline emissions contribute to global warming.
g. Predictors: (Constant), Income level, Size of home town or city, Number of people in household,
Age , Level of education, Gasoline emissions contribute to global warming., Marital status
h. Dependent Variable: Preference: Runabout Sport 2 seat hybrid
Coefficientsa
Unstandardized Coefficients
Standardized
Coefficients
B
Std. Error
Beta
(Constant)
5.339
.088
Income level
-.020
.001
Model
1
-.422
t
Sig.
60.764
.000
-14.724
.000
2
3
4
5
(Constant)
4.578
.093
49.053
.000
Income level
-.019
.001
-.412
-15.931
.000
Size of home town or city
.001
.000
.396
15.337
.000
(Constant)
5.585
.111
50.339
.000
Income level
-.020
.001
-.428
-18.115
.000
Size of home town or city
.001
.000
.371
15.668
.000
Number of people in
household
-.415
.029
-.335
-14.160
.000
(Constant)
7.003
.159
44.092
.000
Income level
-.017
.001
-.366
-16.105
.000
Size of home town or city
.001
.000
.385
17.352
.000
Number of people in
household
-.520
.029
-.420
-18.019
.000
Age
-.029
.002
-.283
-11.813
.000
(Constant)
8.838
.238
37.212
.000
Income level
-.015
.001
-.313
-14.023
.000
Size of home town or city
.001
.000
.378
17.832
.000
Number of people in
household
-.534
.028
-.431
-19.373
.000
Age
-.032
.002
-.307
-13.391
.000
Level of education
-.137
.014
-.218
-10.028
.000
6
7
(Constant)
8.873
.237
37.496
.000
Income level
-.015
.001
-.311
-13.990
.000
Size of home town or city
.001
.000
.375
17.805
.000
Number of people in
household
-.533
.027
-.430
-19.400
.000
Age
-.032
.002
-.308
-13.495
.000
Level of education
-.120
.015
-.190
-8.162
.000
Gasoline emissions contribute -.055
to global warming.
.017
-.073
-3.227
.001
(Constant)
8.942
.237
37.679
.000
Income level
-.015
.001
-.313
-14.128
.000
Size of home town or city
.001
.000
.378
17.968
.000
Number of people in
household
-.599
.037
-.484
-16.182
.000
Age
-.034
.002
-.325
-13.764
.000
Level of education
-.118
.015
-.188
-8.088
.000
Gasoline emissions contribute -.054
to global warming.
.017
-.071
-3.139
.002
Marital status
.097
.076
2.677
.008
.261
a. Dependent Variable: Preference: Runabout Sport 2 seat hybrid
Regression
Variables Entered/Removeda
Runabout with Luggage two-seater:
Model
Variables
Variables Entered Removed
Method
1
Size of home
town or city
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
2
Age
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
3
Level of
education
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
4
Income level
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
5
Marital status
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
6
Number of people .
in household
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
7
Hybrid autos that .
use alternative
fuels will reduce
fuel emissions.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
8
Americans use
too much
gasoline.
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
a. Dependent Variable: Preference: Runabout with Luggage 2
seat hybrid
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.468a
.219
.219
1.650
2
.519b
.269
.268
1.597
3
.549c
.302
.300
1.562
4
.587d
.345
.342
1.513
5
.618e
.382
.379
1.471
6
.626f
.392
.389
1.459
7
.629g
.396
.391
1.456
8
.631h
.399
.394
1.453
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.468a
.219
.219
1.650
2
.519b
.269
.268
1.597
3
.549c
.302
.300
1.562
4
.587d
.345
.342
1.513
5
.618e
.382
.379
1.471
6
.626f
.392
.389
1.459
7
.629g
.396
.391
1.456
8
.631h
.399
.394
1.453
a. Predictors: (Constant), Size of home town or city
b. Predictors: (Constant), Size of home town or city, Age
c. Predictors: (Constant), Size of home town or city, Age , Level of education
d. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level
e. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level, Marital
status
f. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level, Marital
status, Number of people in household
g. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level, Marital
status, Number of people in household, Hybrid autos that use alternative fuels will reduce fuel
emissions.
h. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level, Marital
status, Number of people in household, Hybrid autos that use alternative fuels will reduce fuel
emissions., Americans use too much gasoline.
ANOVAi
Model
1
2
3
4
5
6
Sum of Squares
df
Mean Square
F
Sig.
Regression
763.205
1
763.205
280.338
.000a
Residual
2716.999
998
2.722
Total
3480.204
999
Regression
936.936
2
468.468
183.647
.000b
Residual
2543.268
997
2.551
Total
3480.204
999
Regression
1050.521
3
350.174
143.547
.000c
Residual
2429.683
996
2.439
Total
3480.204
999
Regression
1201.070
4
300.268
131.088
.000d
Residual
2279.134
995
2.291
Total
3480.204
999
Regression
1328.304
5
265.661
122.713
.000e
Residual
2151.900
994
2.165
Total
3480.204
999
Regression
1365.437
6
227.573
106.858
.000f
Residual
2114.767
993
2.130
Total
3480.204
999
7
8
Regression
1376.466
7
196.638
Residual
2103.738
992
2.121
Total
3480.204
999
Regression
1387.141
8
173.393
Residual
2093.063
991
2.112
Total
3480.204
999
92.723
.000g
82.096
.000h
a. Predictors: (Constant), Size of home town or city
b. Predictors: (Constant), Size of home town or city, Age
c. Predictors: (Constant), Size of home town or city, Age , Level of education
d. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level
e. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level, Marital
status
f. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level, Marital
status, Number of people in household
g. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level, Marital
status, Number of people in household, Hybrid autos that use alternative fuels will reduce fuel
emissions.
h. Predictors: (Constant), Size of home town or city, Age , Level of education, Income level, Marital
status, Number of people in household, Hybrid autos that use alternative fuels will reduce fuel
emissions., Americans use too much gasoline.
i. Dependent Variable: Preference: Runabout with Luggage 2 seat hybrid
Coefficientsa
Unstandardized Coefficients
Standardized
Coefficients
B
Std. Error
Beta
(Constant)
2.842
.077
Size of home town or city
.001
.000
(Constant)
3.994
.158
Size of home town or city
.002
.000
Age
-.025
.003
(Constant)
2.305
.292
Size of home town or city
.002
.000
Age
-.024
Level of education
Model
1
2
3
4
5
t
Sig.
36.981
.000
16.743
.000
25.242
.000
.484
17.818
.000
-.224
-8.253
.000
7.894
.000
.491
18.493
.000
.003
-.217
-8.159
.000
.124
.018
.181
6.824
.000
(Constant)
2.189
.283
7.728
.000
Size of home town or city
.002
.000
.484
18.784
.000
Age
-.018
.003
-.163
-6.146
.000
Level of education
.159
.018
.232
8.758
.000
Income level
-.011
.001
-.220
-8.107
.000
(Constant)
1.686
.283
5.954
.000
Size of home town or city
.002
.000
19.830
.000
.468
.498
6
7
Age
-.018
.003
-.162
-6.257
.000
Level of education
.169
.018
.246
9.535
.000
Income level
-.012
.001
-.231
-8.736
.000
Marital status
.718
.094
.192
7.666
.000
(Constant)
2.195
.306
7.170
.000
Size of home town or city
.002
.000
.497
19.947
.000
Age
-.023
.003
-.208
-7.451
.000
Level of education
.169
.018
.246
9.607
.000
Income level
-.012
.001
-.231
-8.801
.000
Marital status
1.071
.126
.287
8.526
.000
Number of people in
household
-.200
.048
-.148
-4.176
.000
(Constant)
2.417
.321
7.538
.000
Size of home town or city
.002
.000
.494
19.837
.000
Age
-.023
.003
-.205
-7.325
.000
Level of education
.171
.018
.248
9.726
.000
Income level
-.012
.001
-.231
-8.841
.000
Marital status
1.069
.125
.286
8.529
.000
Number of people in
household
-.198
.048
-.146
-4.143
.000
8
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
-.051
.023
(Constant)
2.288
.325
Size of home town or city
.002
.000
Age
-.023
Level of education
-2.280
.023
7.040
.000
.494
19.880
.000
.003
-.207
-7.434
.000
.163
.018
.237
9.141
.000
Income level
-.012
.001
-.233
-8.907
.000
Marital status
1.087
.125
.291
8.671
.000
Number of people in
household
-.201
.048
-.149
-4.219
.000
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
-.055
.023
-.060
-2.419
.016
Americans use too much
gasoline.
.052
.023
.057
2.248
.025
a. Dependent Variable: Preference: Runabout with Luggage 2 seat hybrid
-.057
Regression
Variables Entered/Removeda
Economy four-seater:
Model
Variables
Variables Entered Removed
1
Income level
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
2
Level of
education
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
3
Age
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
Method
4
Size of home
town or city
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
5
Hybrid autos that .
use alternative
fuels will keep
gas prices down.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
a. Dependent Variable: Preference: Economy 4 seat hybrid
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.524a
.275
.274
1.566
2
.618b
.383
.381
1.446
3
.714c
.509
.508
1.290
4
.744d
.554
.552
1.231
5
.753e
.567
.565
1.212
Model Summary
Model
R
R Square
Adjusted R
Square
Std. Error of the
Estimate
1
.524a
.275
.274
1.566
2
.618b
.383
.381
1.446
3
.714c
.509
.508
1.290
4
.744d
.554
.552
1.231
5
.753e
.567
.565
1.212
a. Predictors: (Constant), Income level
b. Predictors: (Constant), Income level, Level of education
c. Predictors: (Constant), Income level, Level of education, Age
d. Predictors: (Constant), Income level, Level of education, Age , Size of
home town or city
e. Predictors: (Constant), Income level, Level of education, Age , Size of
home town or city, Hybrid autos that use alternative fuels will keep gas
prices down.
ANOVAf
Model
1
2
3
4
5
Sum of Squares
df
Mean Square
F
Sig.
Regression
929.039
1
929.039
378.606
.000a
Residual
2448.936
998
2.454
Total
3377.975
999
Regression
1292.177
2
646.089
308.827
.000b
Residual
2085.798
997
2.092
Total
3377.975
999
Regression
1720.783
3
573.594
344.740
.000c
Residual
1657.192
996
1.664
Total
3377.975
999
Regression
1870.011
4
467.503
308.472
.000d
Residual
1507.964
995
1.516
Total
3377.975
999
Regression
1916.784
5
383.357
260.785
.000e
Residual
1461.191
994
1.470
Total
3377.975
999
ANOVAf
Model
1
2
3
4
5
Sum of Squares
df
Mean Square
F
Sig.
Regression
929.039
1
929.039
378.606
.000a
Residual
2448.936
998
2.454
Total
3377.975
999
Regression
1292.177
2
646.089
308.827
.000b
Residual
2085.798
997
2.092
Total
3377.975
999
Regression
1720.783
3
573.594
344.740
.000c
Residual
1657.192
996
1.664
Total
3377.975
999
Regression
1870.011
4
467.503
308.472
.000d
Residual
1507.964
995
1.516
Total
3377.975
999
Regression
1916.784
5
383.357
260.785
.000e
Residual
1461.191
994
1.470
Total
3377.975
999
a. Predictors: (Constant), Income level
b. Predictors: (Constant), Income level, Level of education
c. Predictors: (Constant), Income level, Level of education, Age
d. Predictors: (Constant), Income level, Level of education, Age , Size of home town or city
e. Predictors: (Constant), Income level, Level of education, Age , Size of home town or city, Hybrid autos that use
alternative fuels will keep gas prices down.
Coefficientsa
Unstandardized Coefficients
Standardized
Coefficients
B
Std. Error
Beta
(Constant)
2.064
.089
Income level
.026
.001
(Constant)
-.726
.227
Income level
.023
.001
Level of education
.227
.017
(Constant)
-2.712
.237
Income level
.018
.001
Level of education
.252
Age
Model
1
2
3
4
5
t
Sig.
23.279
.000
19.458
.000
-3.199
.001
.450
17.635
.000
.336
13.175
.000
-11.427
.000
.357
15.213
.000
.015
.373
16.290
.000
.041
.003
.368
16.050
.000
(Constant)
-2.290
.230
-9.940
.000
Income level
.018
.001
.349
15.577
.000
Level of education
.247
.015
.365
16.735
.000
Age
.043
.002
.384
17.495
.000
Size of home town or city
-.001
.000
-.211
-9.923
.000
(Constant)
-2.693
.238
-11.319
.000
Income level
.017
.001
15.360
.000
.524
.340
Level of education
.240
.015
.354
16.399
.000
Age
.041
.002
.371
17.061
.000
Size of home town or city
-.001
.000
-.208
-9.921
.000
.018
.120
5.641
.000
Hybrid autos that use
.102
alternative fuels will keep gas
prices down.
a. Dependent Variable: Preference: Economy 4 seat hybrid
Excluded Variablesf
Collinearity
Statistics
Beta In
t
Sig.
Partial
Correlation
Tolerance
Size of home town or city
-.197a
-7.495
.000
-.231
.999
Gender
.005a
.174
.862
.006
.997
Marital status
.013a
.478
.633
.015
.998
Number of people in
household
-.074a
-2.743
.006
-.087
.998
Age
.331a
12.899
.000
.378
.947
Level of education
.336a
13.175
.000
.385
.951
I am worried about global
warming.
.018a
.685
.493
.022
1.000
Model
1
Global warming is a real
threat.
.038a
1.422
.155
.045
.999
We need to do something to
slow global warming.
.034a
1.265
.206
.040
.997
Gasoline emissions contribute .163a
to global warming.
6.118
.000
.190
.988
Americans use too much
gasoline.
.108a
4.040
.000
.127
.995
We should be looking for
gasoline substitutes.
.019a
.722
.470
.023
.998
Gasoline prices will remain
high in the future.
.044a
1.632
.103
.052
.999
Gasoline prices are too high
now.
.042a
1.558
.120
.049
.999
High gasoline prices will
.123a
impact what type of autos are
purchased.
4.611
.000
.144
.998
.106a
3.951
.000
.124
1.000
Hybrid autos that use
.188a
alternative fuels will keep gas
prices down.
7.089
.000
.219
.985
.146a
5.492
.000
.171
.993
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
Hybrid autos that use
alternative fuels will slow
down global warming.
2
Size of home town or city
-.184b
-7.587
.000
-.234
.998
Gender
.027b
1.085
.278
.034
.992
Marital status
.035b
1.419
.156
.045
.994
Number of people in
household
-.069b
-2.784
.005
-.088
.998
Age
.368b
16.050
.000
.453
.938
I am worried about global
warming.
.014b
.574
.566
.018
1.000
Global warming is a real
threat.
.026b
1.029
.304
.033
.997
We need to do something to
slow global warming.
.017b
.694
.488
.022
.995
Gasoline emissions contribute .046b
to global warming.
1.701
.089
.054
.850
Americans use too much
gasoline.
.046b
1.827
.068
.058
.957
We should be looking for
gasoline substitutes.
.014b
.568
.570
.018
.998
Gasoline prices will remain
high in the future.
.008b
.308
.758
.010
.986
Gasoline prices are too high
now.
.032b
1.266
.206
.040
.998
High gasoline prices will
.097b
impact what type of autos are
purchased.
3.925
.000
.123
.992
.091b
3.688
.000
.116
.998
Hybrid autos that use
.162b
alternative fuels will keep gas
prices down.
6.561
.000
.204
.978
Hybrid autos that use
alternative fuels will slow
down global warming.
.126b
5.102
.000
.160
.989
Size of home town or city
-.211c
-9.923
.000
-.300
.992
Gender
.029c
1.315
.189
.042
.992
Marital status
.040c
1.814
.070
.057
.994
Number of people in
household
.048c
2.058
.040
.065
.898
I am worried about global
warming.
.009c
.398
.691
.013
.999
Global warming is a real
threat.
.025c
1.108
.268
.035
.997
We need to do something to
slow global warming.
.005c
.204
.839
.006
.993
2.269
.023
.072
.849
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
3
Gasoline emissions contribute .055c
to global warming.
Americans use too much
gasoline.
.032c
1.408
.159
.045
.956
We should be looking for
gasoline substitutes.
.002c
.071
.943
.002
.996
Gasoline prices will remain
high in the future.
-.002c
-.078
.938
-.002
.986
Gasoline prices are too high
now.
.034c
1.516
.130
.048
.998
High gasoline prices will
.079c
impact what type of autos are
purchased.
3.547
.000
.112
.989
.074c
3.322
.001
.105
.995
Hybrid autos that use
.125c
alternative fuels will keep gas
prices down.
5.639
.000
.176
.967
Hybrid autos that use
alternative fuels will slow
down global warming.
.083c
3.700
.000
.117
.974
Gender
.019d
.874
.382
.028
.990
Marital status
.025d
1.177
.240
.037
.988
Number of people in
household
.036d
1.588
.113
.050
.896
I am worried about global
warming.
.006d
.263
.792
.008
.999
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
4
Global warming is a real
threat.
.021d
.980
.327
.031
.997
We need to do something to
slow global warming.
.000d
-.009
.993
.000
.993
Gasoline emissions contribute .047d
to global warming.
2.050
.041
.065
.848
Americans use too much
gasoline.
.032d
1.469
.142
.047
.956
We should be looking for
gasoline substitutes.
.020d
.924
.356
.029
.989
Gasoline prices will remain
high in the future.
.010d
.487
.627
.015
.982
Gasoline prices are too high
now.
.027d
1.274
.203
.040
.997
High gasoline prices will
.073d
impact what type of autos are
purchased.
3.433
.001
.108
.988
.062d
2.937
.003
.093
.992
Hybrid autos that use
.120d
alternative fuels will keep gas
prices down.
5.641
.000
.176
.967
.084d
3.949
.000
.124
.974
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
Hybrid autos that use
alternative fuels will slow
down global warming.
5
Gender
.019e
.883
.377
.028
.990
Marital status
.024e
1.159
.247
.037
.988
Number of people in
household
.036e
1.643
.101
.052
.895
I am worried about global
warming.
.004e
.196
.845
.006
.999
Global warming is a real
threat.
.013e
.625
.532
.020
.993
We need to do something to
slow global warming.
-.019e
-.911
.363
-.029
.968
1.455
.146
.046
.838
Gasoline emissions contribute .033e
to global warming.
Americans use too much
gasoline.
.003e
.130
.897
.004
.900
We should be looking for
gasoline substitutes.
.006e
.297
.767
.009
.976
Gasoline prices will remain
high in the future.
-.002e
-.089
.929
-.003
.972
Gasoline prices are too high
now.
-.001e
-.033
.974
-.001
.942
1.269
.205
.040
.822
High gasoline prices will
.029e
impact what type of autos are
purchased.
Hybrid autos that use
alternative fuels will reduce
fuel emissions.
.010e
.425
.671
.013
.783
Hybrid autos that use
alternative fuels will slow
down global warming.
.042e
1.787
.074
.057
.804
a. Predictors in the Model: (Constant), Income level
b. Predictors in the Model: (Constant), Income level, Level of education
c. Predictors in the Model: (Constant), Income level, Level of education, Age
d. Predictors in the Model: (Constant), Income level, Level of education, Age , Size of home town or city
e. Predictors in the Model: (Constant), Income level, Level of education, Age , Size of home town or city, Hybrid
autos that use alternative fuels will keep gas prices down.
f. Dependent Variable: Preference: Economy 4 seat hybrid
Regression
Variables Entered/Removeda
Starndard two-seater:
Model
Variables
Variables Entered Removed
Method
1
Size of home
town or city
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
2
Level of
education
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
3
Number of people .
in household
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
4
Age
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
5
Income level
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
6
Gender
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
7
We should be
looking for
gasoline
substitutes.
.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
8
Gasoline prices .
will remain high
in the future.
Stepwise
(Criteria:
Probability-of-Fto-enter <= .050,
Probability-of-Fto-remove >=
.100).
a. Dependent Variable: Preference: Standard 4 seat hybrid
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.433a
.188
.187
1.466
2
.527b
.278
.277
1.383
3
.611c
.374
.372
1.289
4
.679d
.461
.459
1.196
5
.683e
.466
.464
1.191
6
.687f
.471
.468
1.185
7
.688g
.474
.470
1.184
8
.690h
.476
.471
1.182
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the
Estimate
1
.433a
.188
.187
1.466
2
.527b
.278
.277
1.383
3
.611c
.374
.372
1.289
4
.679d
.461
.459
1.196
5
.683e
.466
.464
1.191
6
.687f
.471
.468
1.185
7
.688g
.474
.470
1.184
8
.690h
.476
.471
1.182
a. Predictors: (Constant), Size of home town or city
b. Predictors: (Constant), Size of home town or city, Level of education
c. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household
d. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age
e. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age , Income level
f. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age , Income level, Gender
g. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age , Income level, Gender, We should be looking for gasoline substitutes.
h. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age , Income level, Gender, We should be looking for gasoline substitutes., Gasoline
prices will remain high in the future.
ANOVAi
Model
1
2
3
4
5
6
Sum of Squares
df
Mean Square
F
Sig.
Regression
495.950
1
495.950
230.809
.000a
Residual
2144.450
998
2.149
Total
2640.400
999
Regression
734.601
2
367.300
192.149
.000b
Residual
1905.799
997
1.912
Total
2640.400
999
Regression
986.564
3
328.855
198.048
.000c
Residual
1653.836
996
1.660
Total
2640.400
999
Regression
1218.257
4
304.564
213.088
.000d
Residual
1422.143
995
1.429
Total
2640.400
999
Regression
1231.240
5
246.248
173.700
.000e
Residual
1409.160
994
1.418
Total
2640.400
999
Regression
1244.939
6
207.490
147.648
.000f
Residual
1395.461
993
1.405
Total
2640.400
999
7
8
Regression
1250.511
7
178.644
Residual
1389.889
992
1.401
Total
2640.400
999
Regression
1255.920
8
156.990
Residual
1384.480
991
1.397
Total
2640.400
999
127.503
.000g
112.372
.000h
a. Predictors: (Constant), Size of home town or city
b. Predictors: (Constant), Size of home town or city, Level of education
c. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household
d. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age
e. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age , Income level
f. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age , Income level, Gender
g. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age , Income level, Gender, We should be looking for gasoline substitutes.
h. Predictors: (Constant), Size of home town or city, Level of education, Number of people in
household, Age , Income level, Gender, We should be looking for gasoline substitutes., Gasoline
prices will remain high in the future.
i. Dependent Variable: Preference: Standard 4 seat hybrid
Coefficientsa
Unstandardized Coefficients
Standardized
Coefficients
B
Std. Error
Beta
(Constant)
5.721
.068
Size of home town or city
-.001
.000
(Constant)
3.329
.224
Size of home town or city
-.001
.000
Level of education
.180
.016
(Constant)
2.414
.221
Size of home town or city
-.001
.000
Level of education
.185
Number of people in
household
Model
1
2
3
4
5
t
Sig.
83.812
.000
-15.192
.000
14.885
.000
-.420
-15.587
.000
.301
11.174
.000
10.911
.000
-.396
-15.735
.000
.015
.309
12.322
.000
.365
.030
.310
12.318
.000
(Constant)
.624
.249
2.509
.012
Size of home town or city
-.001
.000
-.409
-17.508
.000
Level of education
.194
.014
.325
13.914
.000
Number of people in
household
.480
.029
.408
16.588
.000
Age
.031
.002
.313
12.732
.000
(Constant)
.670
.248
2.701
.007
-.433
6
7
Size of home town or city
-.001
.000
-.407
-17.469
.000
Level of education
.184
.014
.307
12.851
.000
Number of people in
household
.476
.029
.405
16.532
.000
Age
.029
.002
.294
11.640
.000
Income level
.003
.001
.074
3.026
.003
(Constant)
.520
.252
2.064
.039
Size of home town or city
-.001
.000
-.404
-17.379
.000
Level of education
.187
.014
.312
13.087
.000
Number of people in
household
.471
.029
.400
16.378
.000
Age
.029
.002
.293
11.635
.000
Income level
.003
.001
.077
3.162
.002
Gender
.236
.076
.073
3.122
.002
(Constant)
.370
.262
1.411
.159
Size of home town or city
-.001
.000
-.408
-17.512
.000
Level of education
.186
.014
.311
13.058
.000
Number of people in
household
.471
.029
.400
16.401
.000
Age
.029
.002
.291
11.593
.000
Income level
.003
.001
.076
3.095
.002
8
Gender
.235
.075
.072
3.116
.002
We should be looking for
gasoline substitutes.
.035
.017
.046
1.994
.046
(Constant)
.491
.269
1.825
.068
Size of home town or city
-.001
.000
-.405
-17.417
.000
Level of education
.189
.014
.317
13.214
.000
Number of people in
household
.471
.029
.400
16.436
.000
Age
.029
.002
.292
11.648
.000
Income level
.003
.001
.076
3.104
.002
Gender
.230
.075
.071
3.059
.002
We should be looking for
gasoline substitutes.
.037
.017
.050
2.135
.033
Gasoline prices will remain
high in the future.
-.037
.019
-.046
-1.968
.049
a. Dependent Variable: Preference: Standard 4 seat hybrid