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
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.