3 Modeling Data using Linear Regression
3.1 Summary
During this workshop, we spent time learning how to model data in Python using linear regression.
3.2 Learning Objectives
After completing this workshop, you are expected to be able to:
- Fit simple and multiple linear regression models.
- Interpret the estimated parameters of the regression model.
- Understand the inference tools made available in the model summary.
- Perform a diagnostic analysis on the residuals.
3.3 Content
| Title | Link |
|---|---|
| 0.1: Google Colab Slides | https://inmas-training.github.io/lecture-slides/00a-google-colab.pdf |
| 3.1: Linear Regression Slides | https://inmas-training.github.io/lecture-slides/03a-linear-regression.pdf |
| 3.2: Linear Regression Notebook |  |
3.4 Resources
| Title | Link |
|---|---|
| Statistical Modeling: The Two Cultures | http://www2.math.uu.se/~thulin/mm/breiman.pdf |