The least squares regression is based on:
A)maximizing the absolute sum of squares errors.
B)minimizing the absolute sum of squares errors.
C)maximizing the sum of squared errors.
D)minimizing the sum of squared errors.

Question

Quizplus · Accepted Answer

The least squares regression involves minimizing the sum of squared errors between actual and predicted values of a dependent variable. This helps to find the best-fit line or curve to the data set. Option D is the correct choice as it reflects this approach.

The Least Squares Regression Is Based On