The regression line y 3 25 X has been fitted to the data p
The regression line y\' = -3 + 2.5 X has been fitted to the data points (28, 60), (20, 50), (10, 18), and (25, 55). The sum of the squared residuals will be: A.16.00 B.49.00 C.94.25 D.20.25
Solution
From the given linear regression equation we find that Y^ = 67, 47, 22 and 59.5 respectively for each of the 4 data points.
finding teh corresponding devaitions squared from the y values, we find that :
20.25 are
the squares of the deviations .
Thus residual sum of squares is : 94.25
| 49 |
| 9 |
| 16 |
| 20.25 are the squares of the deviations . Thus residual sum of squares is : 94.25 |
