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 ...

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.

Yanming Li, Bin Nan, Ji Zhu, Multivariate Sparse Group Lasso for the Multivariate Multiple Linear Regression with an Arbitrary Group Structure, Biometrics, Vol. 71, No. 2 (JUNE 2015), pp. 354-363 ...

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

In this paper, we consider the problem of determining the number of structural changes in multiple linear regression models via group fused Lasso. We show that with probability tending to one, our ...

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