Given are five observations for two variables, x and y. \begin{tabular}{r|rrrrr} xi & 1 & 8 & 14 & 16 & 19 \\ \hlineyi & 58 & 56 & 45 & 21 & 10 \end{tabular} The estimated regression equation for these data is y^=68.642.64x. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r2. Comment on the goodness of fit. (to 3 decimals) The least squares line provided an | fit; % of the variability in y has been explained by the estimated regression equation (to 1 decimal). c. Compute the sample correlation coefficient. Enter negative value as negative number. (to 3 decimals)