Multiple choice problems for Regression.
1. What can be done to remedy multicollinearity?
a. make use of ANOVA instead of Regression.
b. Drop variables that are correlated from the model.
c. Add dummy variables to prevent the problem.
d. None of the above.
2. You have been given a report that presents two regression models with dissimilar numbers of independent variables. You do not have the data so you cannot recompute the regression models. Nevertheless, you have been asked to determine which model is better. How can you reasonably compare them?
1. Utilize R-square
2. Use Adjusted R-square
3. Use coefficient of determination
4. You cannot evaluate models with different numbers of independent variables.