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 12: Log-linear models

  • Lectures
  • Readings
  • Assignments
  • Announcements

Lectures ðŸ”—︎

Slides Videos Application Exercises (AE)
Monday Log-linear models Log-linear models AE 23: Multinomial + Log-linear
Wednesday No AE: Stats experience

Readings ðŸ”—︎

Beyond multiple linear regression: Poisson regression Optional

Assignments ðŸ”—︎

Project peer review due Nov 5 at 11:59p
Quiz 04 Opens Nov 5 at 12a, due Nov 6 at 11:59p
Stats Experience #2 due Nov 8 at 11:59p

Announcements ðŸ”—︎

Tea with a TA

Hang out with the TAs from STA 210! This is a casual conversation and a fun opportunity to meet the members of the STA 210 teaching team. The only rule is these can’t turn into office hours!

Tea with a TA counts as a statistics experience.

Upcoming teas:

Cody Coombs, Thu, Nov 5, 4p - 5p

  • Click here to sign up. Zoom details will be emailed before the event.

Cody Coombs is a current senior at Duke University. He plans on earning a B.S. in Economics with a Finance concentration, as well as a minor in Statistical Science. Last summer he worked remotely as a Business Analyst Intern at Capital One. There he worked on risk analysis of multicard customers, and creating lending policy recommendations for the Credit Line Increase Program. After graduation, he is looking to go into strategy consulting. In his free time, he enjoys watching sports, playing poker, and going golfing.

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Week 11: Multinomial logistic regression
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Week 13: Missing data + presenting results
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