STA302H1: Methods of Data Analysis I


Introduction to data analysis with a focus on regression. Initial Examination of data. Correlation. Simple and multiple regression models using least squares. Inference for regression parameters, confidence and prediction intervals. Diagnostics and remedial measures. Interactions and dummy variables. Variable selection. Least squares estimation and inference for non-linear regression.

Distribution Requirements: 
Breadth Requirements: 
The Physical and Mathematical Universes (5)