Given are five observations for two variables, X and Y.
The estimated regression equation for these data is y = 74.41 - 2.89x
(NEED ANSWERS FOR A, B, C)
a.
Compute SSE, SST, and SSR.
b.
Compute the coefficient of determination r2. Comment on the goodness of fit.
The least squares line provided an _____ (good / bad) 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.
Extracted text: Given are five observations for two variables, x and y. 12 18 52 54 47 22 12 The estimated regression equation for these data is ŷ 74.41 – 2.89a. 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) fit; The least squares line provided an - Select your answer - % 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) 20