business stats

Consider the data. X 1 N 2 3 4 5 y 486 10 12 The estimated regression equation for these data is y = 2.60 + 1.80%. (1) Compute SSE, SST, and SSR using equations SSE - XLV - 9). SST - Xy-), and SSR-719,-) SSE SST - SSR = (b) Compute the coefficient of determination r?. 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 provided a good fit as a small proportion of the variability in y has been explained by the least squares line. The least squares tine 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 tine provided a good fit as a large proportion of the varlability in y has been explained by the least squares line. The least squares fine did not provide a good fit as a small proportion of the variability in y has been explained by the least squares line. (0) Compute the sample correlation coefficient. (Round your answer to three decimal places.)