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 = 81 + 4x. Salesperson Years of Experience Annual Sales ($1,000s) 1 1 80 2 3 97 3 4 97 4 4 102 5 6 103 6 8 111 7 10 119 8 10 128 9 11

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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 = 81 + 4x.
Salesperson Years of
Experience
Annual Sales
($1,000s)
1 1 80
2 3 97
3 4 97
4 4 102
5 6 103
6 8 111
7 10 119
8 10 128
9 11 117
10 13 136
(a)
Compute SST, SSR, and SSE.
SST=
SSR=
SSE=
(b)
Compute the coefficient of determination 
r2.
 (Round your answer to three decimal places.)
r2
 = 
Comment on the goodness of fit. (For purposes of this exercise, consider a proportion large if it is at least 0.55.)
The least squares line provided a good fit as a small proportion of the variability in y has been explained by the least squares line.The least squares line did not provide a good fit as a small proportion of the variability in y has been explained by the least squares line.    The least squares line provided a good fit as a large proportion of the variability in y has been explained by the least squares line.The least squares line did not provide a good fit as a large proportion of the variability in y has been explained by the least squares line.
(c)
What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)
 
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