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...


Given are five observations for two variables,  and .





















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yi5451432512

The estimated regression equation for these data is .


Given are five observations for two variables, x and y.<br>1<br>3 12<br>15<br>17<br>Yi<br>54<br>51<br>43<br>25<br>12<br>The estimated regression equation for these data is y=<br>58.96 – 2.29x.<br>a. Compute SSE, SST, and SSR.<br>SSE<br>(to 2 decimals)<br>SST<br>(to 2 decimals)<br>SSR<br>(to 2 decimals)<br>b. Compute the coefficient of determination r. Comment on the goodness of fit.<br>(to 3 decimals)<br>The least squares line provided an<br>- Select your answer - V fit;<br>% of the variability in y has been explained by the estimated<br>regression equation (to 1 decimal).<br>c. Compute the sample correlation coefficient. Enter negative value as negative number.<br>(to 3 decimals)<br>

Extracted 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)

Jun 10, 2022
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