Schedule
Week 01: Intro
Week 02: SLR
Week 03: SLR
Week 04: ANOVA + MLR
Week 05: MLR
Week 06: Transformations + model comparison
Week 07: Model selection + diagnostics
Week 08: Logistic regression
Week 09: Logistic regression
Week 10: Logistic regression
Week 11: Multinomial logistic regression
Week 12: Log-linear models
Week 13: Missing data + presenting results
Week 14
Week 15

Week 02: SLR

Lectures ðŸ”—︎

Slides Videos Application Exercises (AE)
Monday Simple Linear Regression: Intro An Introduction to Simple Linear Regression AE 03: Price of Porsches
Wednesday SLR: Foundation SLR: Foundation AE 04: Price of Porsches (Inference)
SLR: Inference SLR: Inference

Readings ðŸ”—︎

OpenIntro Statistics: 8.1 - 8.4
(click “Read Free Sample” to access PDF)		 Required
Elements and Principles for Characterizing Variation between Data Analyses Required

Assignments ðŸ”—︎

HW 01 due Wed, Sep 2 at 11:59p
Lab 02 due Wed, Sep 2 at 11:59p

Announcements + Resources ðŸ”—︎

Computing workshops by the Center for Data and Visualization Sciences

Find a complete list of workshops here.

RStudio Cheat Sheets

Previous
Week 01: Intro