The distances for all the points on the regression line are squared and added together to compute the ________,which is a measure of total error.
A) correlation errors
B) standard error of the mean
C) sum of the squared errors
D) random distribution error
E) distance log

Question

Quizplus · Accepted Answer

The sum of the squared errors is calculated by summing the squared differences between each data point and the predicted value of the regression line. It gives a measure of how well the regression line fits the data and is used to calculate various statistics, such as the coefficient of determination (R-squared).

The Distances for All the Points on the Regression Line