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
