A sales manager collected the following data on x = years of experience and y = annual sales ($1,0005). The estimated regression equation for these data is y = 82 + Years of Annual Sales Salesperson Experience ($1,0005) 1 1 8O 2 3 97 3 4 102 4 4 107 5 5 103 6 3 101 7 10 119 8 10 128 9 11 127 10 13 136 (a) Compute SST, SSR, and SSE. SST = SSR = SSE = (b) Compute the coefcient 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 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. \\ 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. (c) What is the value of the sample correlation coefcient? (Round your answer to three decimal places.)