What does the least-squares method for determining the best fit minimize?
A) total variation in the dependent variable
B) sum of squares for error
C) sum of squares for regression
D) total variation in the independent variable

Question

Quizplus · Accepted Answer

The least-squares method for determining the best fit minimizes the sum of squares for error, which is the sum of the squared differences between the observed values and the predicted values. This approach aims to minimize the difference between the actual data points and the line of best fit, and the sum of squares for error provides a measure of how far these points are from the line.

What Does the Least-Squares Method for Determining the Best Fit