e five observations for two variables, and y. 3 5 13 18 20 54 56 49 24 13 mated regression equation for these data is ŷ = 66.90 – 2.35x. ute SSE, SST, and SSR.

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Given are five observations for two variables, x and y.
3
5
13 18 20
Yi
54 56 49
24 13
The estimated regression equation for these data is ŷ = 66.90 – 2.35x.
a. Compute SSE, SST, and SSR.
SSE
(to 2 decimals)
SST
(to 2 decimals)
SSR
(to 2 decimals)
b. Compute the coefficient of determination pi2. Comment on the goodness of fit.
(to 3 decimals)
The least squares line provided an - select your answer - v 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, x and y. 3 5 13 18 20 Yi 54 56 49 24 13 The estimated regression equation for these data is ŷ = 66.90 – 2.35x. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination pi2. Comment on the goodness of fit. (to 3 decimals) The least squares line provided an - select your answer - v 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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