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

Reviewed by Thomas J. Catalano Fact checked by Yarilet Perez Linear Regression vs. Multiple Regression: Overview Linear regression, also called simple regression, is one of the most common ...

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

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

Multiple linear regression is widely used in the real estate industry to estimate housing prices. Instead of relying on a single factor, it considers several variables simultaneously.

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 ...

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