EME 210
Data Analytics for Energy Systems

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Overview

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Overview

In the previous lesson, you have learned how to implement simple linear regression, in which you have one response variable and one predictor variable. In this lesson, we will expand what you have learned to multiple linear regression. Here, you will still have a single response variable, but will include multiple explanatory variables in your model. 

Learning Outcomes

By the end of this lesson, you should be able to:

  • choose which variables to include in a multiple regression model

  • evaluate interactions between variables in a mutiple regression model

Lesson Roadmap

Table listing assignments
Type Assignment Location
To Read Lock et. al. 10.1-10.3 Textbook
To Do

Complete Homework: H11 Multiple Regression

Take Quiz 9

Canvas

Questions?

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If you have questions, please feel free to post them to the General Questions and Discussion forum in Canvas. While you are there, feel free to post your own responses if you, too, are able to help a classmate.