STA 210
Schedule Syllabus Project Sakai Gradescope Help
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 03: SLR

  • Lectures
  • Readings
  • Assignments
  • Announcements

Lectures 🔗︎

Slides Videos Application Exercises (AE)
Monday SLR: Conditions SLR: Conditions AE 05: Price of Textbooks
SLR: Prediction SLR: Prediction
Wednesday SLR: Partitioning variability SLR: Partitioning variability AE 06: Partitioning Variability

Readings 🔗︎

OpenIntro Statistics: 8.1 - 8.4
(click “Read Free Sample” to access PDF)
Required

Assignments 🔗︎

HW 02 due Wed, Sep 9 11:59p
Lab 03 due Wed, Sep 9 at 11:59p

Announcements 🔗︎

Computing workshops by the Center for Data and Visualization Sciences

  • R for data science: getting started, EDA, data wrangling
    • Tue, Sep 1, 10a - 12p
  • R for data science: visualization, pivot, join, regression
    • Wed, Sep 9, 1p - 3p

Find a complete list of workshops here.

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Week 02: SLR
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Week 04: ANOVA + MLR
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