Applied Regression Analysis
Simple and multiple regression for real data: fitting, diagnostics, transformations, variable selection and reporting.
STAT-261 Year 2 3 credits 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · Statistics
Course content
- 1Data, models and the regression questionComing
- 2Simple linear regressionComing
- 3Inference for the slope and predictionComing
- 4Multiple regressionComing
- 5Categorical predictors and interactionsComing
- 6Residual diagnosticsComing
- 7TransformationsComing
- 8Influential points and outliersComing
- 9MulticollinearityComing
- 10Model selection and cross-validationComing
- 11Regression in R and PythonComing
- 12Capstone: a regression report on real dataComing
Requirements
Recommended background. You can start any course at any time.
Description
Simple and multiple regression for real data: fitting, diagnostics, transformations, variable selection and reporting.
Part of the Science stream, typically taken in year 2.