True or False: Two simple regression models were used to predict a single dependent variable.Both models were highly significant,but when the two independent variables were placed in the same multiple regression model for the dependent variable,R² did not increase substantially and the parameter estimates for the model were not significantly different from 0.This is probably an example of collinearity.

Question

Quizplus · Accepted Answer

The statement describes a situation where two independent variables in a multiple regression model show signs of collinearity, as the addition of the second variable did not increase the predictive power and the parameter estimates were not significant.

True or False: Two Simple Regression Models Were Used to Predict