Question

A Regression approach to avoid the problem of outliers

Answer 1

Explanation:

It's bad practice to remove data points simply to produce a better fitting model or statistically significant results. If the extreme value is a legitimate observation that is a natural part of the population you're studying, you should leave it in the dataset.

Answer 2

The regression approach to avoid the problem of outliers is robust regression.

• Robust regression is a preferred method used for robust statistics to control various functional limitations caused by outliers.
• An outlier represents an observation which in a random sample of a population lies an abnormal distance from other values. The slope of the regression line is significantly influenced by these.
• The practical use of robust regression models where outliers have little effect is a universally accustomed way to typically deal with the outliers.