• Intro Regression
  • Welcome to Intro Regression!
  • 1 Getting Started
    • 1.1 How to use this book
    • 1.2 Review: Intro Statistics and R
  • 2 Simple Linear Regression
    • 2.1 Getting started
    • 2.2 Foundation
    • 2.3 Inference
    • 2.4 Prediction
    • 2.5 Checking conditions
    • 2.6 Partioning variability
    • 2.7 Derivation for slope and intercept
  • 3 Analysis of Variance
  • 4 Multiple Linear Regression
  • 5 Model Selection
  • 6 Logistic Regression
  • 7 Multinomial Logistic Regression
  • 8 Special Topics
  • 9 Data Sets
  • Published with bookdown

Intro Regression

Chapter 9 Data Sets

Below is a list of the datasets used in this book. More details about each dataset are coming soon.

  • advertising.csv

  • airbnb_basic.csv

  • airbnb_details.csv

  • beer.csv

  • bikeshare.csv

  • evals_mod.csv

  • fivethirtyeight-recent-grads.R

  • framingham.csv

  • gss2016.csv

  • KingCountyHouses.csv

  • movies.csv

  • recent-grads.csv

  • sesame.csv

  • sis.csv

  • spotify.csv

  • test_songs.csv