A sales manager collected the following data on x = years of experience and y =...

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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 = 80 + 4x. Years of Annual Sales Salesperson Experience ($1,000s) 1 1 80 2 3 97 3 4 92 4 4 102 5 6 103 6 8 111 7 10 119 8 10 123 9 11 117 10 (a) Compute SST, SSR, and SSE. SST = SSR = SSE = 13 136 (b) Compute the coefficient of determination r. (Round your answer to three decimal places.) , = 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 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 small 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.) 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. Years of Annual Sales Salesperson Experience ($1,000s) 1 1 80 2 3 97 3 4 92 4 4 102 5 6 103 6 8 111 7 10 119 8 10 123 9 11 117 10 (a) Compute SST, SSR, and SSE. SST = SSR = SSE = 13 136 (b) Compute the coefficient of determination r. (Round your answer to three decimal places.) , = 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 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 small 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.)