The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

Correlation vs Regression: Both correlation and regression are two powerful tools of statistics and data analysis used to understand the relationships between variables. However, they serve ...

This is the third in a series of lecture notes which, if tied together into a textbook, might be entitled “Practical Regression.” The purpose of the notes is to supplement the theoretical content of ...

In Depth › Analysis and Opinion What does regression to the mean, mean? Employers, lovers, researchers and investors have all been fooled by this statistical concept, but it's actually a doddle ...

Learn how to perform regression analysis of your data in Microsoft Excel, a statistical process that helps you understand the relationship ...

A comparison between parametric and nonparametric regression in terms of fitting and prediction criteria. Methods of fitting semi/nonparametric regression models.

This article is concerned with the selection of subsets of predictor variables in a linear regression model for the prediction of a dependent variable. It is based on a Bayesian approach, intended to ...