[R Course] R nanocourse 7. Multiple Linear Regression

Explore linear regressions in detail by focusing on multiple linear regressions.

Thierry Warin https://warin.ca/aboutme.html (HEC Montréal and CIRANO (Canada))https://www.hec.ca/en/profs/thierry.warin.html
05-23-2019

Introduction

In this session, you will explore linear regressions in detail, focusing on multiple linear regressions. This is a follow-up of last session’s topic, i.e. simple linear regression. This laboratory is part of the analysis part of the research process (CVA approch).

Goals

At the end of the lab, you should be able to:

  1. produce a multiple linear regression;
  2. interpret the obtained results;
  3. use interaction terms;
  4. showcase your results with the Stargazer package.

In the last section of this session, you will find additional materials to go a step further:

  1. evaluation your variables in a correlation matrix;
  2. visualize your results in a 3D plot.



ACCESS TO THE COURSE



Citation

For attribution, please cite this work as

Warin (2019, May 23). Thierry Warin: [R Course] R nanocourse 7. Multiple Linear Regression. Retrieved from https://warin.ca/posts/Rnanocourse7/

BibTeX citation

@misc{warin2019[r,
  author = {Warin, Thierry},
  title = {Thierry Warin: [R Course] R nanocourse 7. Multiple Linear Regression},
  url = {https://warin.ca/posts/Rnanocourse7/},
  year = {2019}
}