Data Analysis Using Regression and Multilevel/Hierarchical Modeling – Book Solutions and Notes

Notes and solutions for “Data Analysis Using Regression and Multilevel/Hierarchical Modeling” by Andrew Gelman and Jennifer Hill, Cambridge University Press, 2007.

Chapter 3: Linear regression: the basics

The folder pyth contains outcome \(y\) and inputs \(x_1, x_2\) for \(40\) data points, with a further \(20\) points with the inputs but no observed outcome. Save the file to…

Chapter 2: Concepts and methods from basic probability and statistics

Well, since I finished Bayesian Statistics the Fun Way and I’m still in the middle of Statistical Rethinking, it’s time to start a new book, and this one seemed like a good…