Statistics IV: Quantitative Covariates and Regression Analysis (via Webinar)
Date & Time
This is the fourth workshop in a 6-part statistics series.
NOTE: Due to the large # of statistical software available, this session will not be about any specific software but, rather, the methodology behind the software.
Model the relationship between two quantitative variables by regression or correlation analysis. We expand the regression model to include additional predictor variables, including other quantitative variables (multiple regression) and categorical variables (ANCOVA) and discuss the importance of checking the model assumptions.
Want to get an idea of what to expect? Check out the video below for a teaser from last year's session.
The Applied Statistics and Data Science Group (ASDa; asda.stat.ubc.ca) in the UBC Department of Statistics provides assistance in the statistical formulation of research questions, the design of experiments and sampling plans for surveys, the choice and explanation of statistical methodology, statistical computing and graphics, statistical analysis, the interpretation of findings, and more. ASDa also plays a role in continuing education on and off the UBC campus, giving seminars and workshops on statistical concepts and methodology to various departments and research groups and at teaching hospitals.
Sonja Surjanovic is a PhD student at UBC’s Statistics department, where she is working on the design and analysis of computer experiments. She completed her MSc in Statistics at SFU, and has held various teaching assistant positions throughout her graduate and undergraduate career.
Registration opens on Monday, January 21 at 9:00am.
Priority will be given to UBC graduate students registered in the current academic session. After registering, you will receive confirmation and additional event details within 2 business days at the e-mail associated with your community.grad.ubc.ca account. If you experience any difficulty using the online registration tool, please e-mail us at firstname.lastname@example.org.