The value of the sum of squares for regression can never be smaller than 1.

Question

Quizplus · Accepted Answer

The sum of squares for regression can be any non-negative value, including zero. It is calculated as the difference between the total sum of squares and the residual sum of squares, and represents the amount of variability in the dependent variable that is explained by the independent variables in the regression model. It can be small if the model fits the data well, or large if the model is a poor fit.

The Value of the Sum of Squares for Regression Can