Exploring and predicting using linear regression in R

This workshop is designed to increase participants understanding of statistical relationships between data. It introduces principles and methods of regression models using R, and how to interpret relationships between variables. The course covers basic principles of regression methods through to interpreting the output of statistical analyses, and also includes practical sessions giving hands-on experience with regression analysis in R.

Learning Objectives

  • Understand the principles of linear regression methods
  • Identify the appropriate correlation or regression analysis for a dataset
  • Carry out regression analysis using R
  • Interpret and report on the results of that analysis

Syllabus

  • An introduction to continuous, discontinuous and categorical variables
  • Understanding the relationship between variables and plotting that relationship graphically
  • Calculating parametric and non-parametric correlation
  • Performing simple and multiple linear regression
  • Assumptions, errors, and what can go wrong in regression analysis

For more information contact training@qfab.org