Multiple Regression
Multiple Regression
Syllabus
Schedule
Readings
Assignments
Classes
Group Project
Blog
Resources
Class sessions
1: Context for and Use of Regression Modelling
2: Fitting Regression Models
3: Slope Inference
4: ANOVA Table
5 SLR Review
6 Take Home Exam 1
7 MLR Intro
8 MLR Intro 2
9 Parallel & Non-Parallel Slopes
10 Multicollinearity & Nested F
11 Outliers, Leverage & Influence
12 Bootstrap for Inference
13 MLR & IPUMS - Data Wrangling
14 MLR & IPUMS - Modeling
15 Transformations
16 Odds, Prob, ORs
17 Simple Logistic - 1
18 Simple Logistic 2
19 Multiple Logistic - 1
20 Multiple Logistic - 2
21 Logistic Data Visualization
22 Logistic Data Visualization
23 Logistic Regression Review
24 Open Review
Group Project Extra Sessions
Workshop 1 - GitHub
Workshop 2 - dplyr
Workshop 3 - ggplot
Take Home Exam 1
Materials from class on Wednesday, February 12, 2020
See Take Home Exam 1
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