If a group of independent variables are not significant individually but are significant as a group at a specified level of significance,this is most likely due to:
A)heteroscedasticity.
B)an error in the analysis.
C)multicollinearity.
D)None of these choices.

Question

Quizplus · Accepted Answer

This scenario is referred to as "multicollinearity," where the independent variables may not be significant individually, but as a group, they can influence the dependent variable. This occurs when there is a high degree of correlation between the independent variables, making it difficult to isolate the impact of each variable individually.

If a Group of Independent Variables Are Not Significant Individually