Handouts

• Common Statistics Notation [ pdf ]
• Regression Review Assessment [ pdf ]
• Anscomb’s Quartet [ pdf ]
• Omitted Variable Bias Calculation
• Seven Sins of Regression [ pdf ]
• Marginal Effects in Quadratic Model [ pdf ]
• Dummy Variables with Interactions [ pdf ]
• A Taxonomy of Control Variables [ pdf ]

Regression Tutorial for R

• UC Business Analytics[ link ]
• By Manny Gimond [ link ]
• Listen Data [ link ]
• Machine Learning Plus [ link ]
• Learning regression in R using Moneyball models [ link ]
• regression animations [ link ]
• much nicer but more complex animations [ link ]
  • Correlation w Venn Diagrams
  • confidence intervals

Creating Nice Tables in RMD

• stargazer cheatsheet
• xtable gallery
• adding equations

Useful R Packages

• plm: panel linear models
• coefplot: create coefficient plots
• dplyr: data wrangling
• stargazer: nice regression tables
• pander: formatting tables
• xtable: formatting tables

Reference Books

• Intro to Stats review in R [ teacup giraffe textbook ]
• OpenIntro Statistics
  • CH-08 Intro to Regression
• Discovering Statistics in R
  • Comprehensive guide to using R for a variety of statistical models
• Real Stats: Using Econometrics for Political Science and Public Policy
  • Regression models from a causal inference and evaluation perspective
• OpenStax free Introductory Statistics textbook
  • Good review of intro statistics:
  • Chapter 1 – Sampling Data
  • Chapter 2 – Descriptive Statistics
  • Chapter 8 – Confidence Intervals
  • Chapter 9 – Hypothesis Testing with One Sample
  • Chapter 10 – Hypothesis Testing with Two Samples
  • Chapter 12 – Linear Regression and Correlation