Explaining the good and bad of regression to the mean and how it can help predict the future and improve your fantasy rosters ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

Every week during the regular season I’ll highlight players whose usage and opportunity doesn’t quite match their production. That might look like a running back scoring touchdowns at an unsustainable ...

The conventional entry test for a new variable in stepwise regression is not theoretically correct, but is used because the necessary exact distributions are not known. Some distributional results ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 48, No. 3 (1999), pp. 313-329 (17 pages) The number of variables in a regression model is often too large and a more ...

Occasionally, shot blockers will see a statistical regression in blocks to make more of an impact on the defensive glass.

Washington’s third-down efficiency has plummeted from 45% to 35% in 2025, exposing how much the Commanders rely on Jayden ...

Successful investing requires the ability to distinguish long-term trends from the short-term noise that moves stock prices on a minute-to-minute basis. One way to tune out the random oscillations and ...