Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

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 ...

This newest book in the series continues in this vein, opening with a refresher on the basic math needed for regression analysis, before teaching readers how to calculate regression equations, assess ...

Multiple regression equations designed to explain or predict should be validated. This tutorial shows how recalculation of the coefficient of determination on hold-out sample data or new sample data ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Using historical data and regression analysis has its limitations in business forecasting. For example, a significant correlation between the independent and dependent variable does not ...

Regression discrepancy-model equations fail to account for the common practice of obtaining more than one achievement score for a discrepancy area (e.g., reading comprehension). This article presents ...