Two Simple Regression Models Were Used to Predict a Single

True/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, did not increase substantially and the parameter estimates for the model were not significantly different from 0.This is probably an example of collinearity.