Week 8

Overview

Learning Goals

• Understand the Design Matrix
• Understand Marginal Effects Estimation
• Understand Parameter Inference

Slides

TipSlides Mon Feb 23

TipSlides Tues Feb 24

Materials

Caution📚 Lab

Github Classroom Assignment

Readings

• The Truth About Linear Regression (TALR)
  • Chapter 3: Simple Regression
  • Chapter 6: Diagnostics & Residuals
  • Chapter 7: Parameter Inference
  • Chapter 7: P-values
• DAAMCA Chapter 4: Statistical Inferences about Parameter Values
• 10 Quick tips to improve your regression modeling
• Theory-Testing in Psychology & Physics: A Methodological Paradox (Meehl, 1967)
• ROS Chapter 11: Assumptions, diagnostics, and model evaluation

Optional References

We covered essential details in class but you can refer to these chapters for additional details

• Regression & Other Stories (ROS) Chapter 6: Background on Regression Modeling
• ROS Chapter 12: Transformations & Regression
• TALR Chapter 4: Ordinary Least Squares (OLS)
• TALR Chapter 5: Maximum Likelihood Estimation (MLE) “guesstimation”