From Wikipedia - "In statistics, regression toward the mean (also called reversion to the mean, and reversion to mediocrity) is the phenomenon where if one sample of a random variable is extreme, the next sampling of the same random variable is likely to be closer to its mean."
I am by no means a statistician but I have been following the regression towards the mean theory when it comes to turnovers in the NFL for quite some time. Does anyone else use this in their handicapping?
I am by no means a statistician but I have been following the regression towards the mean theory when it comes to turnovers in the NFL for quite some time. Does anyone else use this in their handicapping?