Week 6: Bivariate dependencies and relationships, transformations to linearise
Main reference
What you will learn this week
- The humble but powerful scatterplot
- Additions and variations
- Transformations to linearity
- (Robust) numerical measures of association
- Simpson’s paradox
- Making null samples to test for association
- Imputing missing values
Lecture slides
Tutorial instructions
Assignments
- Exercises 2 is due on Monday 01 September.