Which of the following would be the least squares best fitti
Which of the following would be the least squares (best fitting) line?
The residual sum of squares is closest to zero
r is equal to zero
The residual sum of squares is closest to one
The variance of y is large
| a. | The residual sum of squares is closest to zero | |
| b. | r is equal to zero | |
| c. | The residual sum of squares is closest to one | |
| d. | The variance of y is large | 
Solution
The residual sum of squares is closest to zero
because least squares line is calculated by minimizing residual sum of squares.
| a. | The residual sum of squares is closest to zero | 

