MW 4:10pm–5:25pm · MW 6:10pm–7:25pm
2 distinct times across 2 sections.
1 of 2 sections have room
Description
Prerequisites: STAT GU4204 or the equivalent, and a course in linear algebra. Theory and practice of regression analysis. Simple and multiple regression, testing, estimation, prediction, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data
Reviews
Course experience
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Instructor quality
n=7, 2017–2026
Aggregated across every course Gabriel Young has taught.
Teaching quality
4.2 / 5
Grading fairness
No signal
Workload
4.0 / 5 · Heavy
Difficulty
4.0 / 5 · Hard
Overall sentiment
Sections2
- 43 of 86 seats left
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
- Full
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
In your week
Workload and grading
- Grading
- Not published
- Format
- Not published
- Credits
- 3 credits
Reported workload
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