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 ...

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 ...

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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

This article briefly reviews classical suppressor variables, suppression and enhancement, opposing signs of regression coefficients and zero-order correlations, and multicollinearity. A concise and ...

Max Halperin, Joan Gurian, Confidence Bands in Linear Regression with Constraints on the Independent Variables, Journal of the American Statistical Association, Vol. 63, No. 323 (Sep., 1968), pp. 1020 ...