Linear regression captures the relationship between two variables—for example, the relationship between the daily change in a company's stock prices and the daily change in trading volume.

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

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

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Compared to standard linear ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear models with two or more explanatory variables. This is an extension of Lesson 9. I will start with a ...

Multiple linear regression. Multiple linear regression models are much more complicated and can work with a greater number of lines and shapes on charts.

Topics covered include simple linear regression, multiple regression, variable selection, model diagnostics, and systems of regression equations. The course also covers classification techniques using ...

We argue that orthogonal regression is often misused in errors-in-variables linear regression because of a failure to account for equation errors. The typical result is to overcorrect for measurement ...