This course is an introduction to data analysis with a focus on regression. Topics include: initial examination of data, correlation, and 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 will also be discussed. Three lecture hours per week. 05-01-2022-04-04-2022 Lecture Monday, Wednesday 01:30PM - 02:45PM, Robertson Library, Room 209
- Teacher: Sami Khedhiri