When should I use robust regression instead of ordinary least squares?
You should consider using robust regression when your data contains outliers or is not normally distributed.
What are some common methods of robust regression?
Common methods include Huber regression, RANSAC, and quantile regression.
How does robust regression handle outliers?
Robust regression reduces the influence of outliers by using loss functions that are less sensitive to extreme values.
Can you give me an example of when robust regression is beneficial?
Sure! In a dataset with extreme values, like income data, robust regression can provide a more accurate model than OLS.
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