In a simple linear regression , if the sum of squares for regression is 90, then the sum of squares for error is at most 90.

Question

Quizplus · Accepted Answer

The sum of squares for error cannot be at most 90. It has to be greater than or equal to 0 since it represents the variation in the response variable that is not explained by the regression model. Therefore, the correct statement should be "the sum of squares for error is at least 90".

In a Simple Linear Regression , If the Sum of Squares