In multiple regression analysis, the correlation among the independent variables is termed
A)homoscedasticity
B)linearity
C)multicollinearity
D)adjusted coefficient of determination

Question

Quizplus · Accepted Answer

The correlation among the independent variables is termed multicollinearity. This can lead to issues with the model, such as unstable coefficient estimates and difficulty in interpreting the effect of individual variables. Homoscedasticity refers to the equal variance of error terms across all levels of the independent variables, linearity refers to the linear relationship between the independent and dependent variables, and the adjusted coefficient of determination is a measure of the proportion of variance in the dependent variable explained by the independent variables, adjusted for the number of independent variables in the model.

In Multiple Regression Analysis, the Correlation Among the Independent Variables