Loading...
CFA Level 2
Quantitative Methods

Impact of Multicollinearity in Regression Analysis

Medium Multiple Regression Analysis Multicollinearity

In a multiple regression analysis, a financial analyst is investigating the relationship between a company's revenue (dependent variable) and several independent variables: advertising expenditure, research and development (R&D) expenses, and sales staff expenses. After conducting the regression, the analyst discovers high variance inflation factors (VIFs) for advertising expenditure and R&D expenses, indicating possible multicollinearity.

Which of the following statements best describes the impact of multicollinearity in this context?

Hint

Submitted16.5K
Correct9.4K
% Correct57%