Given are five observations for two variables, a and y. 2 8 13 17 20 51 60 46 16 10 The estimated regression equation for these data is y = 68.29 – 2.64æ. 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 - Select your answer | 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)

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Given are five observations for two variables, a and y.
2
8 13 17 20
Yi
51 60 46 16 10
The estimated regression equation for these data is y = 68.29 – 2.64x.
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 - Select your answer
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)
Transcribed Image Text:Given are five observations for two variables, a and y. 2 8 13 17 20 Yi 51 60 46 16 10 The estimated regression equation for these data is y = 68.29 – 2.64x. 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 - Select your answer 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)
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