Question: What is the effect of adding more predictors to a linear regression model?

Options:

1. Always improves model accuracy
2. Can lead to overfitting
3. Reduces the complexity of the model
4. Eliminates multicollinearity

Correct Answer: Can lead to overfitting

Solution:

Adding more predictors can lead to overfitting, especially if the additional predictors do not contribute meaningful information.