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. By the end of this Lesson , you should understand 1) what Multiple Regression is, and 2) how to use and interpret the output from a Multiple 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.

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  Linear, Multiple, Lesson, Regression, Multiple linear regression

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