Which of the following are NOT assumptions of a multiple regression model?
A)R-squared should be above 90%
B)The relationship between the response and the predictors is linear.
C)The residuals are approximately normally distributed
D)The variability of the errors is about the same for all values of each predictor.
E)All of these are characteristics of a good regression model.

Question

Quizplus · Accepted Answer

R-squared being above 90% is not an assumption of a multiple regression model; it is a measure of model fit. The assumptions of a multiple regression model include linearity, normal distribution of residuals, and homoscedasticity (constant variance of errors), but not a specific threshold for R-squared.

Which of the Following Are NOT Assumptions of a Multiple