Linear Regression Using R

Linear Regression Using R

An Introduction to Data Modeling

David J. Lilja

University of Minnesota Libraries Publishing, Minneapolis, MN, 2016
ISBN:  978-1-946135-00-1


About the Book

Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language. All of the necessary resources are freely available online.

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Table of Contents

  1. Introduction
  2. Understand Your Data
  3. One-Factor Regression
  4. Multi-factor Regression
  5. Predicting Responses
  6. Reading Data into the R Environment
  7. Summary
  8. A Few Things to Try Next