The degrees of freedom for the sum of squares regression are ________.
A)25
B)4
C)20
D)24

Question

Quizplus · Accepted Answer

The degrees of freedom for the sum of squares regression is equal to the number of predictors in the model. Since no specific number of predictors is mentioned, the most common scenario is when there is one predictor (simple linear regression), leading to 1 degree of freedom for the regression. However, none of the options directly match this explanation. Given the options, the closest or most relevant choice is not clearly identifiable without additional context. Typically, the degrees of freedom for regression is calculated as the number of predictors (k), but none of the provided options align with a standard scenario without further details.

The Degrees of Freedom for the Sum of Squares Regression