Welcome to your Multicollinearity
1. Which of the following is a primary consequence of multicollinearity in a regression model?
2. Which diagnostic measure is commonly used to detect multicollinearity in a regression model?
3. What is the relationship between the R-squared value of a regression model and multicollinearity?
4. If a regression model suffers from multicollinearity, which of the following outcomes is most likely?
5. Which of the following methods can help reduce multicollinearity in a regression model?
6. When multicollinearity is present, which of the following is the most appropriate course of action?
7. How does multicollinearity affect the confidence intervals of the regression coefficients?
8. Which of the following indicates the presence of perfect multicollinearity in a regression model?
9. What is the primary effect of multicollinearity on hypothesis testing in a regression model?
10. In the context of multicollinearity, what does a high condition number (greater than 30) indicate?
