The least-squares regression line minimizes the sum of the squared deviations of the actual values from the predicted values in the regression line.

Question

Quizplus · Accepted Answer

The least-squares regression line is specifically designed to minimize the sum of the squared deviations of the actual values from the predicted values in the regression line. This is what makes it the "least squares" line - it minimizes the sum of the squares of these deviations. Therefore, the statement is true.

The Least-Squares Regression Line Minimizes the Sum of the Squared