The amount of variation in the dependent variable that is not explained by the multiple regression equation is known as:
A) total sum of squares.
B) residual sum of squares.
C) regression sum of squares.
D) treatment sum of squares.

Question

Quizplus · Accepted Answer

The residual sum of squares (RSS) is the amount of variation in the dependent variable that is not explained by the regression equation. It represents the error or noise in the data that cannot be accounted for by the independent variables. This is also known as the sum of squared residuals or the sum of squared errors.

The Amount of Variation in the Dependent Variable That Is