Regression models predict outcomes like housing prices from various inputs. Machine learning enhances regression by analyzing large, complex datasets. Different regression types address varied data ...

We encounter regression to the mean almost every day, but almost nobody understands it. From sporting prowess to investment success, and jobseeking to KPIs, it crops up pretty much whenever we see an ...

In Week 11, I explained the difference between anticipated regression and the so-called "Gambler's fallacy", and in Week 12, ...

High stock prices, low interest rates and non-existent volatility have lulled investors into a false sense of security. Avoid the temptation to extrapolate events of the immediate past into the ...

In this article, we consider sufficient dimension folding for the regression mean function when predictors are matrix- or array-valued. We propose a new concept named central mean dimension folding ...

Richard Russell, an exceptionally well-regarded Dow Theorist, explained that a stock market can do absolutely anything over short periods of time. Yet, over longer periods, the greatest certainty is ...

What if I told you that Adrian Peterson isn’t as good as his stats say? My reasoning is the Curse of the Leading Rusher. You’ve never heard of it before, but it’s an obvious trend. Since 1980, the NFL ...