Question: Which technique can be used to handle multicollinearity in linear regression?

Options:

1. Increasing the sample size
2. Removing one of the correlated variables
3. Using a more complex model
4. All of the above

Correct Answer: All of the above

Solution:

To handle multicollinearity, one can increase the sample size, remove one of the correlated variables, or use more complex models like Ridge regression.