Linear Regression Models
6:10pm–7:25pm
INTERNATIONAL AFFAIRS BLDG IAB 417
Morningside
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Description
Prerequisites: STAT GR5203 and GR5204 or the equivalent. Theory and practice of regression analysis, Simple and multiple regression, including testing, estimation, 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.
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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
In your week
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Flat map — motion reduced
Workload and grading
- Grading
- Not published
- Format
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- Credits
- 3 credits
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