The sum of squared error (SSE)is
A)a measure of the total variation in Y about the mean.
B)a measure of the total variation in X about the mean.
C)a measure in the variation of Y about the regression line.
D)a measure in the variation of X about the regression line.
E)None of the above

Question

Quizplus · Accepted Answer

SSE measures the variation of Y from the regression line. It is calculated as the sum of the squared differences between the actual Y values and the predicted Y values based on the regression equation. Therefore, option C is the correct choice. Option A is incorrect because it refers to the total variation in Y about the mean, not the regression line. Option B is incorrect because it refers to the variation in X, not Y. Option D is also incorrect because it is the variation in X, not Y. Option E is incorrect because one of the other options must be correct.

The Sum of Squared Error (SSE)is