Question: Which of the following assumptions is NOT required for linear regression?

Options:

1. Linearity
2. Homoscedasticity
3. Independence of errors
4. Normality of predictors

Correct Answer: Normality of predictors

Solution:

While linear regression assumes linearity, homoscedasticity, and independence of errors, it does not require the predictors to be normally distributed.