Which of the following statements is true about the error sum of squares (SSE)?
A)It measures the variation resulting from the relationship between the independent and dependent variable.
B)It measures the variation of the actual Y (independent variable)values around the mean Y (Y̅).
C)It measures the variation not explained by the regression but resulting from other factors or variables.
D)It measures the variation explained by the regression.

Question

Quizplus · Accepted Answer

The error sum of squares (SSE) measures the variation not explained by the regression but resulting from other factors or variables. It represents the difference between the actual Y values and the predicted Y values obtained from the regression equation.

Which of the Following Statements Is True About the Error