Universal definition
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Let X, Y be random variables with any joint distribution (discrete or continuous). Reversion towards the Mean is the property defined in the following theorem.[1]
Assume means exists and that X and Y have identical marginal distributions. Then for all c in the range of the distribution, so that
we have that
with the reverse inequality holding for all
First we look at some probabilities. By elementary laws:
- and
But the marginal distributions are equal, which implies
So taking these three equalities together we get
Going on the conditional probabilities we infer that
Looking now at expected values we have
-
But of course
- , so
-
Similarly we have
-
and again of course
- , so
-
Putting these together we have
and, since the marginal distributions are equal, we also have
- , so
which concludes the proof.