What are the advantages of robust regression compared to linear regression?

What are the advantages of robust regression compared to linear regression?

Robust regression is less sensitive to outliers than linear regression, making it more reliable in certain datasets.

Can you explain why outliers affect linear regression?

Outliers can skew the results of linear regression, leading to inaccurate predictions and misleading coefficients.

What types of data are best suited for robust regression?

Robust regression is ideal for datasets with outliers or non-normal error distributions, ensuring more accurate modeling.

Are there any specific methods of robust regression?

Yes, common methods include Huber regression and RANSAC, which are designed to minimize the influence of outliers.

How do I choose between robust and linear regression for my analysis?

Consider using robust regression if your data has significant outliers or if you expect non-constant variance in errors.