Which of the following is NOT true of a least-squares regression line? O A) The least-squares regression line is chosen so that the sum of the squares of the residuals is as small as possible. O B) The least-squares regression line is the only line with the smallest sum of the squares of the errors. O C) If all the points are on a line, then the sum of the squares of errors is zero. O D) The sum of the squares of the residuals is always equal to r2