What are the benefits of robust regression?
Robust regression is beneficial as it reduces the influence of outliers, providing more reliable estimates.
How does it compare to ordinary least squares regression?
Unlike ordinary least squares, robust regression is less sensitive to outliers, making it more reliable in certain datasets.
Can you give me an example of when to use robust regression?
Sure! Use robust regression when your data contains outliers or when the assumptions of linear regression are violated.
What are some common methods of robust regression?
Common methods include Huber regression, quantile regression, and least absolute deviations.
Is robust regression more complex to implement?
It can be more complex, but many statistical software packages offer built-in functions to simplify the process.
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