Explanation : Regression to the mean occurs whenever
a non-random sample is selected from a
population and two imperfectly correlated
variables are measured, such as two
consecutive blood pressure measurements.
The less correlated the two variables, the
larger the effect of regression to the mean.
Also, the more extreme the value from the
population mean, the more room there is to
regress to the mean. So, whenever a group is
selected with extreme values for one variable
and another variable is then measured, the
regression effect is high.