A statistical program is recommended.
A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is
ŷ = 82 + 4x.
Salesperson | Years of Experience |
Annual Sales ($1,000s) |
---|---|---|
1 | 1 | 80 |
2 | 3 | 97 |
3 | 4 | 102 |
4 | 4 | 107 |
5 | 6 | 103 |
6 | 8 | 101 |
7 | 10 | 119 |
8 | 10 | 128 |
9 | 11 | 127 |
10 | 13 | 136 |
(a) Compute the residuals.
Years of Experience |
Annual Sales ($1,000s) |
Residuals |
---|---|---|
1 | 80 | |
3 | 97 | |
4 | 102 | |
4 | 107 | |
6 | 103 | |
8 | 101 | |
10 | 119 | |
10 | 128 | |
11 | 127 | |
13 | 136 |
Formula to calculate residuals is:
The residuals are using this formula :
Observation | Years of Experience |
Annual Sales ($1,000s)
|
Predicted Annual Sales ($1,000s) : | Residuals |
1 | 1 | 80 | 86 | -6 |
2 | 3 | 97 | 94 | 3 |
3 | 4 | 102 | 98 | 4 |
4 | 4 | 107 | 98 | 9 |
5 | 6 | 103 | 106 | -3 |
6 | 8 | 101 | 114 | -13 |
7 | 10 | 119 | 122 | -3 |
8 | 10 | 128 | 122 | 6 |
9 | 11 | 127 | 126 | 1 |
10 | 13 | 136 | 134 | 2 |
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