Presenter: Brian Fogarty
This workshop is designed as an introduction to linear regression in R. Linear regression is considered the “backbone” of quantitative social science and provides the grounding and framework for understanding advanced regression models.
The topics covered during the workshop include:
- Wrangling data in R
- Model fit, statistical significance, and regression coefficient interpretation
- Visualizations of regression coefficients
- Testing OLS assumptions
The workshop is designed for individuals with experience using linear regression in other statistical software (e.g., Stata, SPSS) and want to learn how to run linear regression models in R. Further, it is assumed that individuals have a basic understanding of R. We will also be using R Markdown, but it is not critical for learning the material.
This workshop will be offered in-person in Hesburgh Library. There is a limit of 15 participants for this workshop. Register Now!
Registration must be completed by Friday, November 4th.
More details about the workshop can be found here.
Originally published at lucyinstitute.nd.edu.