Exam 02 review
Nov 29, 2023
Announcements
- Due dates
- HW 05 due TODAY at 11:59pm
- Project
- (Optional) Round 1 submission due Fri, Dec 01 at 11:59pm
- Presentations in lab Dec 5 & 7
- Exam 02 dates
- In-class: Mon, Dec 4
- Take-home: Mon, Dec 4 - Wed, Dec 6
- Review: Wed, Nov 29
- No Ed Discussion or office hours Dec 4 - 6
- Click here to access lecture recordings. Available until Mon, Dec 04 at 9am
- Please fill out course evaluations
Course + TA evaluations
Course and TA evaluations are now available (will receive email about TA evals)
If there is at least 80% on the course evaluations and TA evaluations, everyone in the class will get 1 percentage point (i.e. 0.5 out of 50) on Exam 02.
- This will be determined separately for the Sections 001 and 002.
Exam 02
15% of final course grade
50 points total
- in-class: 35 points
- take-home: 15 points
In-class: 75 minutes during Mon, Dec 4 lecture
Take-home:
- Released: Mon, Dec 4 ~ 3pm
- Due: Wed, Oct 6 at 11:59pm
- Similar in format to a lab/ HW
Content: Weeks 5 - 14
Fitting, interpreting, comparing, and evaluating multiple linear regression models
Feature engineering + model workflow using tidymodels
Cross validation
Inference for multiple linear regression
Probabilities, odds, and odds ratios
- Fitting, interpreting, comparing, and evaluating logistic regression models
Using logistic regression models for prediction and classification
Fitting, interpreting, comparing, and evaluating multinomial logistic regression models
Using multinomial logistic regression models for prediction and classification
Outline of in-class portion
Closed-book, closed-note.
8-10 questions, some with multiple parts
Question types:
- Multiple choice
- Short answer (no more than 3 sentences)
- True/ False.
- If false, write 1 - 2 sentence justification about why it is false. Must get justification correct to receive credit.
- Evaluate a response.
Last page will have analysis output.
Just need a pencil or pen. No calculator permitted on exam.
