Question: What is the effect of multicollinearity in a linear regression model?

Options:

1. It improves model accuracy
2. It makes coefficient estimates unstable
3. It has no effect on the model
4. It simplifies the model

Correct Answer: It makes coefficient estimates unstable

Solution:

Multicollinearity can make coefficient estimates unstable and difficult to interpret in a linear regression model.