A sales manager collected the following data on years of experience and y-annual sales ($1,000s). The estimated regression equation for these data is 98 + 4x Salesperson Years of Experience Annual Sales ($1.000) 1 1 80 2 3 97 4 92 102 5 1 20 11 > 10 29 B 10 129 9 10 10 13 138 (a) Compute SST, SSR, and SSE. SST = 2642 X SSR- 2272 SSE 1370 X (b) Compute the coefficient of determination (Round your answer to three decimal places.) = 0.859 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 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 smd 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 (c) What is the value of the sample correlation coefficient? (Round your answer to three decimal places.) 0.927