H vvebassignhet ASWSBE14 14.5.019.ALT. DATAfile: Sales Asales manager collected the following data on x = years of experience and y = annual sales ($1,0005). The estimated regression equation for these data is 9 = 80 + 4x. r Years of Annual Sales Experience ($1,0005) 1 80 97 92 (a) Compute SST, SSR, and SSE. SST SSR SSE Compute the coefcient of determination r2. (Round your answer to three decimal places.) ,2: 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 t as a small proportion of the variability in y has been explained by the least squares line. Q 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. 0 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. 0 The least squares line did not provide a good fit as a small proportion of the varlabllity ln y has been explained by the least squares line. H wehassign'net 80 97 92 (a) Compute SST, SSR, and SSE. SSF 55R SSE Compute the coefcient of determination r2. (Round your answer to three decimal places.) r2 = Comment on the goodness of t. (For purposes of this exercise, consider a proportion large if it is at least 0.55') r' The least squares line provided a good t 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 t as a large proportion of the variability in y has been explained by the least squares line' C 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.)