Given are five observations for two variables, x and y. 7 10 15 20 Yi 51 56 40 17 14 The estimated regression equation for these data is ŷ = 60.90 – 2.39x. 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)

MATLAB: An Introduction with Applications
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Given are five observations for two variables, x and y.
1
7
10
15
20
51
56
40
17
14
Yi
The estimated regression equation for these data is ŷ = 60.90 – 2.39x.
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, x and y. 1 7 10 15 20 51 56 40 17 14 Yi The estimated regression equation for these data is ŷ = 60.90 – 2.39x. 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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