Uploaded by Abdul Kayum

Eco104 Excel

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Abdul kayum Talukdar
Navigation
Awesome
Excellent
Good
Poor
ID: 2020-2-10-172
Frequency + ID(172)
274
230
202
182
300
274
250
Frequencuy
Name:
200
150
100
50
0
Awesome
Bar Chart
230
202
Excellent
Good
Navigation
182
Poor
Navigation
Awesome
Excellent
Good
Poor
Frequency + ID(172)
274
230
202
182
Awesome
Pie Chart
20%
31%
23%
26%
Awesome
Excellent
Good
Poor
Time
28
25
48
37
41
19
32
26
16
23
23
29
36
31
26
21
32
25
31
43
35
42
38
33
28
28
25
48
37
41
19
32
26
16
23
23
29
36
31
26
21
32
25
31
43
Time + ID(72)_
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
107
114
110
105
100
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
35
42
38
33
28
107
114
110
105
100
Frequency + ID (1)
0
400
800
1200
1600
2000
2400
2800
3200
3600
0
10
13
25
40
47
34
21
6
0
Frequency
Mid Value
50
45
40
35
30
25
20
15
10
5
0
0
500
1000
Polygon
1500
2000
Mid Value
2500
3000
3500
4000
Profit
200-600
600-1000
1000-1400
1400-1800
1800-2200
2200-2600
2600-3000
3000-3400
Frequency
8
11
23
38
45
32
19
4
Frequency + ID (2)
10
13
25
40
47
34
21
6
Upper Limit
Cumulative frequency
200
600
1000
1400
1800
2200
2600
3000
3400
0
10
23
48
88
135
169
190
196
Cumulative frequency
Cumulative frequency
250
200
150
100
50
0
0
500
1000
1500
2000
Upper Limit
2500
3000
3500
4000
Time + ID(72)_
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
107
114
110
105
100
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
107
114
110
105
100
median
103
Time + ID(72)_
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
107
114
110
105
100
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
mean
115
107
114
110
105
100
102.72
Time + ID(72)_
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
107
114
110
105
100
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
107
114
110
105
100
Variance
62.24653061
Time + ID(72)_
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
107
114
110
105
100
100
97
120
109
113
91
104
98
88
95
95
101
108
103
98
93
104
97
103
115
107
114
110
105
100
Standard daviation
7.889647052
Column 1
Column 2
Column 1 Column 2
1
0.964764
1
Month
July
August
September
October
Advertising Expense ( X )
Sales Revenue ( Y )
2
1
3
4
7
3
8
10
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.964764
R Square
0.930769
Adjusted R Square
0.896154
Standard Error
0.948683
Observations
4
ANOVA
df
Regression
Residual
Total
1
2
3
SS
24.2
1.8
26
MS
F
Significance F
24.2 26.88889 0.035236
0.9
Coefficients
Standard Error t Stat
P-value Lower 95% Upper 95%Lower 95.0%
Upper 95.0%
Intercept
1.5 1.161895 1.290994
0.3258 -3.49923 6.499231 -3.49923 6.499231
X Variable 1
2.2 0.424264 5.18545 0.035236 0.374539 4.025461 0.374539 4.025461
a= 1.5
b= 2.2
Upper 95.0%
Month
Advertising Expense ( X )
July
August
September
October
Sales Revenue ( Y )
2
1
3
4
7
3
8
10
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