4 Modeling Data using Logistic Regression and Hypothesis Testing
4.1 Summary
For our fourth and final workshop, we aimed to improve our knowledge on hypothesis testing and gently expand into the world of generalized linear models using logistic regression.
4.2 Learning Objectives
After completing this workshop, you are expected to be able to:
- Establish hypotheses
- Test different hypotheses.
- Fit simple and multiple logistic regression models.
- Interpret the estimated parameters of the logistic regression model.
4.3 Content
| Title | Link |
|---|---|
| 0.1: Google Colab Slides | https://inmas-training.github.io/lecture-slides/00a-google-colab.pdf |
| 4.1: Hypothesis Testing Slides | https://inmas-training.github.io/lecture-slides/04a-hypothesis-testing.pdf |
| 4.2: Hypothesis Notebook |  |
| 4.3: Logistic Regression Slides | https://inmas-training.github.io/lecture-slides/04b-logistic-regression.pdf |
| 4.4: Logistic Regression Notebook | |
4.4 Resources
| Title | Link |
|---|---|
| There is only one test | http://allendowney.blogspot.com/2011/05/there-is-only-one-test.html |
| Statistical tests as linear models | https://lindeloev.github.io/tests-as-linear/ |
| A Statistical Decision Tree for Hypothesis Tests | https://www.peggykern.org/uploads/5/6/6/7/56678211/edu90790_decision_chart.pdf |