What happens if there are outliers?


In the context of this lesson, what happens if there are outliers?


Outliers can happen in reality and are not always avoidable. In addition, unless there is a very good reason to remove them, outliers cannot be easily excluded from real-world data.

As a result, outliers can appear somewhat frequently in datasets. When there are outliers, they can have a fairly strong influence on the slope and intercept of the dataset. As a consequence, the line of best fit for the data can be slightly off, or possibly even completely wrong.