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Lesson 21: Multiple Linear Regression Analysis

Lesson 21: Multiple Linear Regression Analysis Motivation and Objective: We've spent a lot of time discussing simple Linear Regression , but simple Linear Regression is, well, simple in the sense that there is usually more than one variable that helps explain the variation in the response variable. Multiple Linear Regression (MLR) is an Analysis procedure to use with more than one explanatory variable. Many of the steps in performing a Multiple Linear Regression Analysis are the same as a Simple Linear Regression Analysis , but there are some differences. In this Lesson , we'll start by assuming all conditions of the Multiple Linear Regression model are met (we'll talk more about these conditions in Lesson 22) and learn how to interpret the output.

Multiple Linear Regression is an analysis procedure to use whe n more than one explanatory variable is included in a “model”. That is, when we believe there is more than one explanatory variable that might help “explain” or “predict” the response variable, we’ll put all of these explanatory variables into the “model” and ...

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