Linear regression using R

In this online workshop, we will explore how to use R for conducting linear regression analyses. Learning outcomes include:

• Fitting a linear model
• Interpreting coefficients
• Assessing model assumptions
• Evaluating the model’s fit using diagnostic tools like residual plots.

This workshop was not recorded. However, a previous year’s recording and materials for this workshop can be found here: https://learn.scds.ca/machine-learning-with-r/linear-regression.html

Workshop Preparation

An installed and working copy of R and R Studio is required on participants’ laptops prior to the workshop. Follow instructions provided here.

Facilitator Bio

Sahar Khademioore is a PhD candidate in the Health Research Methodology program at McMaster University with a background in midwifery. She supports researchers in data analysis using statistical software such as R, SAS, and SPSS, research methodology, and evidence synthesis (including systematic reviews).

---