Outliers · Example 1

In the third exam/final exam example, you can determine whether there is an outlier. If there is an outlier, as an exercise, delete it and fit the remaining data to a new line. For this example, the new line ought to fit the remaining data better. This means the SSE (sum of the squared errors) should be smaller and the correlation coefficient ought to be closer to 1 or –1.

Its source prints no answer for this problem, so there's nothing to check against.

OpenStax, Statistics · §12.5 Outliers · Example 1