Correlations - Pearson and Spearman I know that Pearson correlation is sensitive to outliers, unlike Spearman correlation.  I am trying to generate data (let's say with at least 30 points) that will maximize the difference between these two methods. I was trying to generate some points in an ascending linear direction, and then one outlier point in the opposite direction. It indeed showed a big difference in the coefficients, but not as much as I wanted. Any ideas?

This is the basic idea. In this example Spearman's correlation is obviously 1, and Pearson's correlation is 0.65. You can generate "step data" that will look like almost a straight line, then add an outlier.

