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Simple Linear Regression in R

Course Date: Course Not Offered This Semester

Who This Course Is For

Simple Linear Regression is one of the most commonly used statistical methods – but this means it is often misused and misinterpreted. In the SAIG Short Course Simple Linear Regression in R, we will cover the how to perform and interpret simple linear regression.



Duration:  2 hours

Course Dates: January 20, 2021

Venue: Virtual 

Required Software:  R & R Studio (free)

Cost: Free to VT Participating Colleges and Administrative Units

Pre-requisites:  No previous coding experience is required.  Knowledge of basic descriptive statistics is assumed.

Prework includes downloading course materials, R, and R Studio.

By the end of this course you will be able to:

  •  Running SLR in R
  • Checking SLR assumptions with plots and tests
  • Interpreting SLR models and coefficients
  • Alternatives if your data don’t meet the usual assumptions


This is a hands-on, interactive course where you will submit pre-written code followed by exercises where you write your own code based on examples.  You will leave with code that you can apply to your datasets.