| Items |
|---|
| Fit a linear regression model with multiple predictors and interpret the coefficients |
| Interpret the regression coefficient for binary, and categorical predictors |
| Fit a model with a log transformed, or binary outcome and interpret the results |
Multiple & Generalized Regression
Because life isn’t bivariate
Learning Path
Where we’ve been
Learning how a third variable can modify the relationship between two explanatory and response variables.
Where we’re at
Learning how to expand regression models to include more than 1 predictor, and how to fit other non-linear regression models.
Objectives
Learning Materials
Slides (Will open in full screen. Right click to open in a new tab)
📚 Reading
| Items |
|---|
| Topic Overview |
| PMA6 Ch 12.1-12.6 |
| PMA6 11.4 |
| PMA6 Ch 8, 10.3, 10.5 |
| A blog about statistical musings |
| How to control confounding effects by statistical analysis |
Assignments
| Items |
|---|
| HW09 |
Assessment
| Items |
|---|
| Quiz 10 |
| Project Phase 5 |