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.

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.

Michael C. Lovell, Seasonal Adjustment of Economic Time Series and Multiple Regression Analysis, Journal of the American Statistical Association, Vol. 58, No. 304 (Dec., 1963), pp. 993-1010 ...

Learn how to perform regression analysis of your data in Microsoft Excel, a statistical process that helps you understand the relationship ...