Exam 02 review
Apr 09, 2026
Announcements
HW 04 due Thursday, April 9 at 11:59pm
Next project milestone: Draft report due Friday, April 10 (before lab)
- Peer feedback due April 11 at 11:59pm
Exam 02
In-class: April 14
Take-home: April 14 - 16
Content: February 19 (Model conditions & diagnostics) - Today (Data science ethics)
Exam 02 format
50 points total
In-class: 36 points
Take-home: 15 points
In-class: 75 minutes during April 14 lecture
Take-home: due Thursday, April 16 at 12pm (noon)
Official university documentation or note from your academic dean required to excuse any part of the exam
Exam 02 content
Concepts from the first half of the semester continue to apply, but the exam will focus on new content since Exam 01.
Linear regression
Model conditions and diagnostics
Multicollinearity
Variable transformations
Maximum likelihood estimation
Properties of estimators
Model selection
Ridge regression
Logistic regression
- Fitting and interpreting logistic model
- Predicted probabilities and classes
- ROC curve and AUC
- Inference for logistic regression
- Model selection
Data science ethics
Tips for studying
Rework derivations from assignments and lecture notes
Review in-class activities and assignments, asking “why” as you review your process and reasoning
Focus on understanding not memorization
Explain concepts / process to others
Ask questions in office hours
Review prepare readings
Review lecture recordings (available until start of in-class exam)
Resources
Prepare readings
Lecture notes, AEs, labs, homework
Lecture recordings available until start of the exam (link in course website menu)
HW and lab assignments
Exam 02 practice problems (link in menu of course website)
