STA 3300: Regression Analysis at the University of Ottawa introduces students to statistical methods for modelling relationships between outcome variables and explanatory variables. The course covers simple and multiple linear regression, estimation and hypothesis testing using least-squares and likelihood methods, model diagnostics, goodness-of-fit assessment, variable selection, non-linear regression, transformations, weighted regression, and generalized least squares. Students also apply regression techniques using statistical software, making the course important for building practical data-analysis and statistical modelling skills.