brianlukoff / sta371g

STA 371G at UT Austin McCombs School of Business, Spring 2021

Lecture slides & scripts

Lecture	Slides	R script
Lecture 1: Introduction to predictive analytics	Slides
Lecture 2: Probability 1	Slides	Script
Lecture 3: Probability 2	Slides	Script
Lecture 4: Bayes' Rule & Random Variables	Slides	Script
Lecture 5: Making Decisions	Slides	Script
Lecture 6: Decision Trees	Slides
Lecture 7: Value of Information	Slides
Lecture 8: Review of Inference	Slides	Script
Lecture 9: Correlation & Simple Regression 1	Slides	Script
Lecture 10: Correlation & Simple Regression 2	Slides	Script
Lecture 11: Inference for Simple Regression 1	Slides	Script
Lecture 12: Inference for Simple Regression 2	Slides	Script
Lecture 13: What can go wrong, and how to fix it 1	Slides	Script
Lecture 14: What can go wrong, and how to fix it 2	Slides	Script
Lecture 15: Multiple Regression	Slides	Script
Lecture 16: Polynomial Regression & Data Cleaning	Slides	Script
Lecture 17: Building Models	Slides	Script
Lecture 18: Indicator Variables and Interactions	Slides	Script
Lecture 19: Logistic Regression 1	Slides	Script
Lecture 20: Logistic Regression 2	Slides	Script
Lecture 21: Problems with p-values	Slides	Script
Lecture 22: Training and test sets	Slides	Script

R help pages

Short R help pages are available on a variety of topics:

• Loading and saving data
• Simple regression
• Multiple regression
• Dummy variables
• Interactions
• Diagnostics and transformations
• Model selection
• Logistic regression
• Time series
• Simulations
• Getting more help