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 y = 80 + 4x. Salesperson Years of Annual Sales Experience ($1,000s) 80 N 3 97 W 4 97 A 4 102 UT 6 103 8 101 10 119 8 10 118 9 11 127 10 13 136 (a) Compute SST, SSR, and SSE. SST = SSR = SSE =(a) Compute SST, SSR, and SSE. ssh: (b) Compute the coefcient of determination :2. (Round your answer to three decimal places.) A: Comment on the goodness of t. (For purposes of this exercise, consider a proportion large if it is at least 0.55.) O 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. 0 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. (C) The least squares line provided a good t as a large proportion of the variability in y has been explained by the least squares line. 0 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 oorrelation coefficient? (Round your answer to three decimal places.) : Need Help? Submit