Datasets used in lecture notes, in-class exercises, etc.
| Date | Topic | Data |
|---|---|---|
| 01.13.20 | Review: Confidence Intervals | sesame_street.csv |
| 01.15.20 | Review: Hypothesis Tests | sesame_street.csv |
| 01.22.20 | Simple Linear Regression: Basics | fandango dataset in the fivethirtyeight R package |
| 01.27.20 | Simple Linear Regression: Inference | fandango dataset in the fivethirtyeight R package |
| 02.03.20 | Analysis of Variance | bikeshare-sample.csv |
| 02.05.20 | Multiple Linear Regression (MLR): Basics | homeprices.csv |
| 02.10.20 | MLR: Predictions & Math details | homeprices.csv |
| 02.12.20 | MLR: Special predictors & assumptions | loans.csv (subset of loans_full_schema in openintro R package) |
| 02.17.20 | MLR: Interactions & transformations | ex0824 dataset in the Sleuth3 R package |
| 02.24.20 | Exam 01 Review | diamonds dataset in the ggplot2 R package |
| 03.02.20 | Model Assessment | tip_data.csv |
| 03.04.20 | Model Selection & Diagnostics | case1201 dataset in the Sleuth3 R package |
| 03.25.20 | Logistic Regression: Motivation & Basics | framingham.csv |
| 03.30.20 | Logistic Regression: Prediction & Model assessment | framingham.csv |
| 04.01.20 | Logistic Regression: Inference & Model selection | framingham.csv |
| 04.06.20 | Multinomial Logistic Regression: The Basics | NHANES dataset in the NHANES R package |
| 04.08.20 | Multinomial Logistic Regression: Assumptions & Model Selection | NHANES dataset in the NHANES R package |