Outliers are data points that don’t fit the model well. Outliers are data points that don’t fit the model well. Let’s take the previous example we did earlier.
Here is an updated dataset with the addition of a new point corresponding to x = 13 but doesn’t make sense to the otherwise overall behaviour.
You can see that the outlying data has pulled the right side of the regression line up.
