Regression analysis with many variables
What is the danger of having too many variables in a regression?
Answer the question
Wrong test results: More and more coefficients become significant although there is no actual effect
Danger of multicollinearity: The regression estimates become very unstable
Performance: Printing the regression output takes too long
Model fit: The R squared decreases with every variable added
Take Hint (-15xp)