### Multiple Regression

Previously, we learned that regression analysis can be used to predict the value of a variable Y given the value of a variable X. This is obviously a very useful tool for the social scientist attempting to explain, predict, and control social phenomena. A problem with this is that most social phenomena are very complex, and one predictor variable rarely does a very good job of predicting an outcome variable. Most social phenomena have multiple causes, and a mathematical model of those phenomena should consider multiple contributing factors. This deficiency is partially solved by *multiple linear regression*.

**Multiple regression analysis** is a statistical tool that allows the researcher to use two or more independent variables (*X*s) to predict a single dependent variable (*Y*). Like the simple linear regression technique we learned earlier, multiple regression assumes that the relationship between *X* and *Y* is linear for all *X*s.

Multiple Regressionis a statistical technique that allows for the prediction of a single dependent variable Y with multiple independent variables.

Last Modified: 06/04/2021