Which of the following statements is true of a least-squares regression line? Check all that apply.

Group of answer choices

The sum of the squares of the residuals is always equal to r 2 .

If all the points are on a line, then the sum of the squares of errors is zero.

The least-squares regression line is chosen so that the sum of the squares of the residuals is as small as possible.

The least-squares regression line is the only line with the smallest sum of the squares of the errors.