Question

The regression sum of squares (RSS) represents: a. The amount of variation in Y around its mean that the regression function can account for. b. The amount of variation in the dependent variable that is not explained by the regression function. c. The amount of variation in the independent variable that is not explained by the regression function. d. The amount of variation in the residuals that is explained by the regression function.

Answer 1

The regression sum of squares (RSS) represents: a. The amount of variation in Y around its mean that the regression function can account for.

What is regression sum of squares?

The regression sum of squares serves as the  sum of the differences that exist between the predicted value and the mean of the variable.

The Sum of Squared Error  however states the difference between the observed  and the predictive value.

Learn more about  regression sum of squares on:

https://brainly.com/question/19953642

#SPJ1