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

Not all regression is bad. Logan Webb allowed more damage in high-leverage situations than low-leverage situations last season. Either he’s uniquely bad when the pressure is on, or it was just a ...

Some of you may have come across a growing number of publications in your field using an alternative paradigm called Bayesian statistics in which to perform their statistical analyses. The goal of ...

Greatness is difficult to achieve, and it can be even more difficult to duplicate. That’s why I always preach to fantasy football managers, new and old, to “beware the magical season" when preparing ...

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

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 ...

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 ...

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 ...

BACKGROUND The application of geographically weighted regression (GWR) – a local spatial statistical technique used to test for spatial nonstationarity – has grown rapidly in the social, health, and ...

WASHINGTON – Expected stats don’t show up in the box score. That makes them easy to dismiss. They’re not interchangeable with counting numbers, nor should they be used as a crutch for a struggling ...