Regression and inference
Required
Recommended
Look through your notes on regression from your last stats class. Also, you can skim through these resources:
- 6.1–6.4 in ModernDive3
- 7.1–7.4 in ModernDive4
- 7.1–7.3 in OpenIntro Statistics5
- 8.1 in OpenIntro Statistics6
We’ll review all this regression stuff in class, so don’t panic if this all looks terrifying! Also, take advantage of the videos that accompany the OpenIntro chapters. And also, the OpenIntro chapters are heavier on the math—don’t worry if you don’t understand everything.
Joshua D. Angrist and Jörn-Steffen Pischke, Mastering ’Metrics: The Path from Cause to Effect (Princeton, NJ: Princeton University Press, 2015).↩︎
Scott Cunningham, Causal Inference: The Mixtape, 2018, https://www.scunning.com/mixtape.html.↩︎
Chester Ismay and Albert Y. Kim, ModernDive: An Introduction to Statistical and Data Sciences via R, 2018, https://moderndive.com/.↩︎
Ibid.↩︎
David M. Diez, Christopher D. Barr, and Mine Çetinkaya-Rundel, OpenIntro Statistics, 3rd ed., 2017, https://www.openintro.org/stat/textbook.php?stat_book=os.↩︎
Ibid.↩︎