Reviewed by Thomas J. Catalano Fact checked by Melody Kazel Linear Regression vs. Multiple Regression: An Overview Linear regression (also called simple regression) is one of the most common ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.

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

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

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 statistical literature and folklore contain many methods for handling missing explanatory variable data in multiple linear regression. One such approach is to incorporate into the regression model ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.