Consider the data

Consider the data. The estimated regression equation for these data is y = 0.80 + 2.40X. (a) Compute SSE, SST, and SSR using equations SSE = 2(y, m2, SST = 2(y, W, and SSR = 207,. W. SSE = SST = SSR = (b) Compute the coefcient of determination r2. .2: Comment on the goodness of t. (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 small proportion of the variability in y has been explained by the least squares line. 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) Compute the sample correlation coefcient. (Round your answer to three decimal places.) Need Help