The least squares technique minimizes the sum of the squares of the vertical distances between the actual Y values and the predicted values of Y.

Question

Quizplus · Accepted Answer

This statement correctly describes the process of least squares regression. The goal is to minimize the sum of the squared residuals (vertical distances between the actual Y values and the predicted values of Y) in order to find the best fitting line or curve to the data.

The Least Squares Technique Minimizes the Sum of the Squares