In bivariate regression analysis, a researcher tries to generate the best-filling line called the regression line. Any point that doesn't fall on this line contributes to error. The total error in regression is determined by:
A)the number of points that don't fall on the regression line.
B)the proportion of points that don't fall on the regression line.
C)the sum of distances between the regression line and the points not on the line.
D)the square of the sum of distances between the regression line and the points not on the line.
E)the percentage of points that don't fall on the regression line.

Question

Quizplus · Accepted Answer

The total error in regression is determined by the square of the sum of distances between the regression line and the points not on the line. This is because the square of the distance is a measure of the error for each point, and the sum of these errors is the total error.

In Bivariate Regression Analysis, a Researcher Tries to Generate the Best-Filling