Regression toward the mean is a statistical phenomenon that occurs when extreme values or measurements in a dataset tend to be closer to the average on subsequent measurements or observations. This concept is rooted in the idea that extreme events or behaviors are often influenced by a variety of factors, some of which may be random. As a result, when a measurement is taken that is significantly above or below the average, subsequent measurements are likely to be less extreme and move closer to the mean.
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