Course Materials
The source code and PDF files associated with the lectures will be posted below after they are presented in class. Source files for all slides are available from the master branch of the GitHub repository for this course.
[S=Slides | A=Annotated Slides ]
- Lecture 1: Introduction to Regression [ S ]
- Lecture 2: The Language of Models [ S ]
- Lecture 3: Simple Linear Regression [ S }
- Lecture 4: Multiple Linear Regression [ S }
- Lecture 5: Multiple Linear Regression (Confidence and Collinearity) [ S ]
- Lecture 6: Statistical confidence [ S ]
- Lecture 7: Confidence in Regression Models [ S ]
- Lecture 8: Logistic Regression [ S ]
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Lecture 9: Missing Data [ S ]
- Data Viz 1: Principles of Data Visualization [ S ]
- Data Viz 2: Data Visualization (ggplot2) [ S ]
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Data Viz 3: Multivariate Data Visualization [ S ]
- Lab 1: iPod shuffle
- Lab 2: Linear Regression
- Lab 3: Multiple Linear Regression
- Lab 4: Analyzing FEV data
- Lab 5: Hypothesis testing in linear regression models
- Lab 6: Analyzing the Titanic data