Linear regression models, also known as linear models, are widely used in various applications and research. It is one of the most popular models out there because of its simplicity and easy interpretation.
This workshop will provide participants with an introduction to simple and multiple linear regression. Topics covered in this workshop include the regression models, model assumptions, interpretation of coefficients, significance testing, interactions between variables and the use and interpretation of dummy variables. Model-checking methods such as residual plots and collinearity diagnostics will also be covered. Several methods for model selection will be included.
Registration is free and open to all University of Waterloo faculty, staff and graduate students.
There will be both lecture and hands-on computer work using R. Participants are encouraged to bring their own laptop with R and RStudio installed.