313 Lecture Slides
Course Introduction
Review of Basic Statistics [[shoesize.csv]]
Linear Regression Basics
Addressing Causality
Constructing and Using Scatterplots
Simple Linear Regression
Regression and the 2-Sample t
A Two-Group Randomized Experiment [[cho4.csv]]
Multiple Regression
Matrix Algebra -- A Minimal Introduction
Matrix Operations in R
Matrix Algebra of Sample Statistics
Random Vectors and Random Matrices
The Geometry of Least Squares Regression [[Demos]]
Continuous Bivariate Regression: A Schematic Overview
Piecewise (Segmented) Linear Regression [[poverty.dat]] [[PiecewiseCode.txt]]
Transforms to Achieve Linearity and Normality
Outliers, Masking, and Swamping
Testing for Nonconstant Variance
WLS Regression
The Matrix Algebra of Multiple Regression
Splines
Variable Selection [[DemoCode.txt]]
Nonlinear Regression
Logistic Regression [[chdage.txt]]
Poisson Regression [[ceb.dat]][[burglary.txt]]
Cluster-Randomized Designs [[Ch07.csv]]
Regression Discontinuity Designs
Instrumental Variables