A binary variable is one that has only two possible outcomes, such as yes/no, success/failure, or 0/1. In this workshop, participants will learn how to estimate and make inferences about binary response probabilities using logistic regression, a powerful tool widely used in various fields such as healthcare, marketing, and social sciences. Topics include:
- The logistic regression model
- Model assumptions
- Interpretation of coefficients
- Significance testing
- Interactions between variables
- Use and interpretation of dummy variables
- Model checking methods (residual plots, goodness-of-fit tests)
- Model selection methods
Practical applications will be a key focus, demonstrating how logistic regression can be used to predict outcomes like disease presence, customer purchase behavior, and more.
Registration is free and open to all University of Waterloo faculty, staff, and graduate students.
The workshop will feature computer work using R. Participants are encouraged to bring their own laptops with R and RStudio installed.