Which procedure for finding a regression line keeps errors of estimate to a minimum?
A) Method of least squares
B) Elaboration likelihood method
C) General linear model
D) Goodness of fit
E) Standardized residual effect

Question

Quizplus · Accepted Answer

The method of least squares aims to minimize the sum of the squared differences between the observed values and the predicted values of the dependent variable. This results in a regression line that best fits the data and minimizes the errors of estimate. Therefore, choice A is the correct answer.

Which Procedure for Finding a Regression Line Keeps Errors of Estimate