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.

Click here to see reviewers' comments

Supplemental materials for teachers of related courses

 

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

Bibliography

Index