Modeling correlation and regression

Module 3

Outline

Testing and summarizing relationship between 2 variables (correlation)
- Pearson \(r\) analysis (param)
  - (numerical variables)
- Spearman’s test (no param)
Measures of association
- Chi-Square Test of Independence
  - (categorical variables)
- Fisher’s Exact Test
From correlation/association to prediction/causation
- The purpose of observational and experimental studies
Widely used analytical tools
- Simple linear regression models
- Multiple Linear Regression models
Shifting the emphasis on empirical prediction
- Introduction to Machine Learning (ML)
- Distinction between Supervised & Unsupervised algorithms