In: Statistics and Probability
(a)
These are the data that have been provided for the dependent and independent variables:
Obs. | X | Y |
1 | 50 | 63 |
2 | 60 | 74 |
3 | 70 | 79 |
Now, with the provided sample values of the predictor and the response variable, we need to construct the following table to compute the estimated regression coefficients:
Therefore, the regression equation is:
Now that we have the regression equation, we can compute SSR. The regression sum of squares is computed as follows:
Hence, the regression sum of squares is SSR=128.
(b)
(c)
When X = 65 then