Consider the data.
The estimated regression equation for these data is ? =62.25 ? 2.75x.
(a) Compute SSE, SST, and SSR using equations SSE =?(yi ??i)2, SST =?(yi ?y)2, and SSR =?(?i ?y)2.
SSE=
SST=
SSR=
(b) Compute the coefficient of determinationr2.(Round your answer to three decimalplaces.)
r2 =
Comment on the goodness of fit. (For purposes of this exercise,consider a proportion large if it is at least 0.55.) Chose one ofthe following.
1.The least squares line provided a good fit as a largeproportion of the variability in y has been explained bythe least squares line.
2.The least squares line did not provide a good fit as a largeproportion of the variability in y has been explained bythe least squares line.
3.The least squares line provided a good fit as a smallproportion of the variability in y has been explained bythe least squares line.
4.The least squares line did not provide a good fit as a smallproportion of the variability in y has been explained bythe least squares line.
(c) Compute the sample correlation coefficient. (Round youranswer to three decimal places.)
