Given are five observations for two variables, x and y. 1 3 12 15 17 Yi 54 51 43 25 12 The estimated regression equation for these data is y = 58.96 – 2.29x. 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,  and .

xi 1 3 12 15 17
yi 54 51 43 25 12

The estimated regression equation for these data is .

Given are five observations for two variables, x and y.
1
3 12
15
17
Yi
54
51
43
25
12
The estimated regression equation for these data is y=
58.96 – 2.29x.
a. Compute SSE, SST, and SSR.
SSE
(to 2 decimals)
SST
(to 2 decimals)
SSR
(to 2 decimals)
b. Compute the coefficient of determination r. 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. 1 3 12 15 17 Yi 54 51 43 25 12 The estimated regression equation for these data is y= 58.96 – 2.29x. a. Compute SSE, SST, and SSR. SSE (to 2 decimals) SST (to 2 decimals) SSR (to 2 decimals) b. Compute the coefficient of determination r. 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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