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

Multiple linear regression (MLR) is a statistical technique that uses several explanatory variables to predict the outcome of a response variable.

The effectiveness of various analytical formulas for estimating R² shrinkage in multiple regression analysis was investigated. Two categories of formulas were identified: estimators of the squared ...

I explore the use of multiple regression on distance matrices (MRM), an extension of partial Mantel analysis, in spatial analysis of ecological data. MRM involves a multiple regression of a response ...

Predicting the Future The most common use of regression in business is to predict events that have yet to occur. Demand analysis, for example, predicts how many units consumers will purchase.