Methods for detecting and treating outliers in simple linear regression

Abstract

In data analysis, one or more values may appear that are sometimes far from a group of other values. These values appear irrationally compared to the rest of the data, and they can be very small or very large compared to the rest of the data. They are usually undesirable because they cause imbalances, and they are called These are outliers, in this article we discussed a concept, the reasons for their appearance, and the most important methods used to detect them in the simple linear regression technique, and in the end, we suggested some methods to treat them.