A sales manager collected the following data onx= years of experienceandy= annualsales ($1,000s). The estimated regression equation for these data is

=81+ 4x.

Salesperson	Years of Experience	Annual Sales ($1,000s)
1	1	80
2	3	97
3	4	92
4	4	107
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 did not provide a good fit as a small proportion of the variability inyhas been explained by the least squares line.The least squares line did not provide a good fit as a large proportion of the variability inyhas been explained by the least squares line. The least squares line provided a good fit as a small proportion of the variability inyhas been explained by the least squares line.The least squares line provided a good fit as a large proportion of the variability inyhas been explained by the least squares line.

(c)What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)