Linear Regression Using R

In this workshop, we will explore how to use R for conducting linear regression. We will cover how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate the model's fit using diagnostic tools like residual plots.In this workshop, we will explore how to use R for conducting linear regression. We will cover how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate the model's fit using diagnostic tools like residual plots.

Workshop Learning Outcomes: We will cover how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate the model's fit using diagnostic tools like residual plots.In this workshop, we will explore how to use R for conducting linear regression. We will cover how to fit a linear model, interpret coefficients, assess model assumptions, and evaluate the model's fit using diagnostic tools like residual plots.

Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre's Online Learning Catalogue.

Facilitator Bio: Sahar 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).