2.1 Welcome to Unit 2
2.2 The Statistical Sommelier: An Introduction to Linear Regression
- 2.2.1 Video 1: Predicting the Quality of Wine
- 2.2.2 Quick Question
- 2.2.3 Video 2: One-Variable Linear Regression
- 2.2.4 Quick Question
- 2.2.5 Video 3: Multiple Linear Regression
- 2.2.6 Quick Question
- 2.2.7 Video 4: Linear Regression in R
- 2.2.8 Quick Question
- 2.2.9 Video 5: Understanding the Model
- 2.2.10 Quick Question
- 2.2.11 Video 6: Correlation and Multicollinearity
- 2.2.12 Quick Question
- 2.2.13 Video 7: Making Predictions
- 2.2.14 Quick Question
- 2.2.15 Video 8: Comparing the Model to the Experts
2.3 Moneyball: The Power of Sports Analytics
- 2.3.1 A Quick Introduction to Baseball
- 2.3.2 Video 1: The Story of Moneyball
- 2.3.3 Video 2: Making it to the Playoffs
- 2.3.4 Quick Question
- 2.3.5 Video 3: Predicting Runs
- 2.3.6 Quick Question
- 2.3.7 Video 4: Using the Models to Make Predictions
- 2.3.8 Quick Question
- 2.3.9 Video 5: Winning the World Series
- 2.3.10 Quick Question
- 2.3.11 Video 6: The Analytics Edge in Sports
- 2.3.12 Quick Question
2.4 Playing Moneyball in the NBA (Recitation)
- 2.4.1 Welcome to Recitation 2
- 2.4.2 Video 1: The Data
- 2.4.3 Video 2: Playoffs and Wins
- 2.4.4 Video 3: Points Scored
- 2.4.5 Video 4: Making Predictions
2.5 Assignment 2