Introduction to Regression Analysis in R
Preface
This book emerged from the course notes I developed as instructor for a course (STAT 341) at Colorado State University. My intent is for this to serve as a resource for an introductory-level undergraduate course on regression methods. Emphasis is on the application of methods, and so mathematical concepts are intertwined with examples using the R computing language.
This book assumes an understanding of basic statistical concepts, including expectation and variance. The examples almost exclusively use the R programming language, and basic familiarity with R is assumed.
I am continuing to expand and revise the information in this book. If you find any errors or have any feedback, please contact me to let me know!
License
All content is copyright © 2020-2023 Kayleigh Keller. The work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.