Linear Regression with R

Data Science/GIS workshop series is powered by GIS and Data Service Center, and Research Education at University Libraries. This workshop series offers introductory to advanced level skills in GIS, Data Science, Data Visualization among others.

The family of general linear models includes some of the most commonly-used statistical models, such as ANOVA, ANCOVA, OLS linear regression and so on. It is also the foundation to understand more advanced models such as generalized linear models, multilevel modeling, and structural equation modeling.

This workshop will cover how to use R to fit and analyze linear models, so participants can build upon previous knowledge to analyze their own data using general linear models. It will cover the following topics: Simple linear regression, Multiple linear regression, and Checking assumption violations.

Prerequisites: Basic skills in R. Completion of the “Introduction to R Series - R Basics” workshop is recommended but not required.

UMD Libraries welcomes individuals with disabilities to participate in its programs and activities. If you have questions about the access provided or would like to request accommodations, please contact libadmin@umd.edu. For some types of accommodations, including securing an ASL interpreter, the Libraries may need two to four weeks of advance notice. Automatic captions will be available for this virtual event.