Week 5
Introduction
Digging deeper into linear regression. Time will be spent to show/prove via simulation the least square criterion that is minimized by the regression estimates. The foundation for inference using classical statistical methods will be explored.
Objectives
- Understand the least squares minimization for regression.
- Explore inference for regression parameters.
- Define what a standard error is.
- Define null hypothesis significance testing (NHST)
Activities
- Read Chapter 2 of Applied Regression: An Introduction
- Read Chapter 3, section 1 of Introduction to Statistical Learning
- Engage with course notes.
- Optional, Read 24.4 of Introduction to Modern Statistics