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

= 80 + 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	101
7	10	119
8	10	118
9	11	127
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 in y has been explained by the least squares line.

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 large 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.

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