Yhd-71.3235
Traffic Studies and Forecasting
Autumn 2015
Assignment 3
Due 26 October, 17:00 h
Use the data given on page 3 and 4 to determine and interpret a regression model on zonal level for
estimating trips per dwelling unit
1. Force all the variables into model and comment on the validity of the overall equation.
2. Plot family income, distance from CBD, car per dwelling unit, and household size against trips
per dwelling unit.
3. Review the correlation matrix and check for collinearity.
4. With your knowledge from part 1, 2, and 3 determine the “BEST” model for estimating trips per
dwelling unit.
5. Prepare a write-up for each of the above parts to be submitted in with the problem.
6. Include the computer outputs in your submission document.
7. Use any regression analysis software package available to you. If you want to use MINITAB,
demo version is available on the website www.minitab.com.
1
Explanation of all the column variables on the next page (average value/zone):
0: Zone Number
1: Trips/Dwelling Unit
2: Family Income/Year
Residential Type (3, 4, 5):
3: Single Family
4: Combination
5: Apartment Complex
6: Car/Dwelling Unit
7: Household Size
8: Occupation: White collar
9: Occupation: Blue collar
10: Distance from the CBD in miles
2
0
1
2
3
4
5
6
7
8
9
10
Zone
Trip
Income
Single
Com
Apart
Car
Home
White
Blue
Dist
1
1.6
18090
0
0
1
1.0
1.5
0
1
5.0
2
2.1
20200
0
0
1
1.2
2.3
0
1
5.4
3
4.1
27600
0
1
0
1.6
2.4
0
1
5.8
4
2.0
17100
0
0
1
1.0
2.3
0
1
6.0
5
1.5
15100
0
1
0
1.1
1.6
0
1
6.2
6
6.3
40100
1
0
0
2.1
2.8
1
0
6.9
7
5.1
29100
1
0
0
2.0
2.6
1
0
7.0
8
11.4
62500
1
0
0
3.3
4.5
1
0
7.3
9
10.6
60400
1
0
0
3.0
4.0
1
0
7.5
10
8.6
47500
1
0
0
2.5
3.1
1
0
8.2
11
9.9
52000
1
0
0
2.7
3.6
1
0
8.3
12
3.1
22970
0
1
0
1.2
2.1
0
1
8.5
13
5.6
36500
0
1
0
2.0
2.7
0
1
9.0
14
11.0
63800
1
0
0
3.1
4.3
1
0
9.3
15
5.4
33600
0
1
0
1.9
2.7
0
1
9.7
16
10.5
59000
1
0
0
3.0
4.1
1
0
9.8
17
3.1
24300
0
1
0
1.3
1.7
0
1
10.2
18
5.8
42300
0
1
0
2.0
2.8
0
1
10.2
19
4.9
25000
0
0
1
1.8
2.4
0
1
10.3
20
10.1
51200
1
0
0
2.9
3.4
1
0
10.8
21
8.1
46800
1
0
0
2.2
3.0
0
1
11.0
22
2.3
18900
0
0
1
1.1
1.8
0
1
11.2
23
2.7
25000
0
0
1
1.3
1.5
0
1
11.2
24
4.9
30700
0
1
0
1.9
2.3
0
1
11.2
25
2.1
18100
0
0
1
1.2
2.3
0
1
12.0
26
9.7
50300
0
0
1
2.8
3.5
1
0
12.1
27
4.7
32000
0
1
0
1.7
2.8
0
1
12.3
28
3.7
26500
0
1
0
1.6
2.2
1
0
12.5
29
10.5
61500
1
0
0
3.1
4.3
1
0
12.8
30
3.5
24000
1
0
0
1.4
1.8
0
1
13.0
31
3.3
25200
0
0
1
1.5
2.1
0
1
13.0
32
5.5
35000
1
0
0
2.1
2.9
0
1
13.8
33
4.3
29000
0
0
1
1.7
2.5
0
1
14.0
34
6.9
41600
1
0
0
2.3
3.0
0
1
14.0
35
9.5
54300
1
0
0
2.5
3.5
1
0
14.1
36
3.5
24200
0
1
0
1.4
2.0
1
0
14.2
37
6.7
40000
0
1
0
2.2
3.0
1
0
14.5
38
8.4
48000
1
0
0
2.5
3.0
1
0
14.8
39
8.7
55300
1
0
0
2.6
3.0
1
0
15.0
40
9.0
52000
1
0
0
2.6
3.2
1
0
15.0
41
7.2
41800
1
0
0
2.3
2.8
1
0
15.2
42
6.1
39000
0
1
0
2.2
3.0
0
1
15.5
43
10.3
62000
1
0
0
2.8
3.6
1
0
15.8
44
11.4
63600
1
0
0
3.2
4.6
1
0
16.3
45
7.6
44500
1
0
0
2.4
3.0
1
0
16.8
3