Linear Regression Using R: An Introduction to Data Modeling

by David R. Lilja

 

Full Text Download (1.6 MB)Download

all-data.csv (287 KB)

read-data.R (2 KB)

 

Description:

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.
 

ISBN:  978-1-946135-00-1

Publication Date:  2016

Publisher:  University of Minnesota Libraries Publishing

City:  Minneapolis

License: This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

CC BY-NC

 

Recommended Citation

Lilja, David J. (2016). Linear Regression Using R: An Introduction to Data Modeling. University of Minnesota Libraries Publishing. Retrieved from the University of Minnesota Digital Conservancy, http://hdl.handle.net/11299/189222.

 

 

 

Linear Regression Using R