Exam 01 review
Oct 03, 2024
Announcements
Project Proposal due TODAY at 11:59pm
Lab 03 due TODAY at 11:59pm
HW 02 due TODAY at 11:59pm
Exam 01: Tuesday, October 8 (in class + take-home)
Lecture recordings available until the start of the in-class exam (Link on side bar of webpage)
Monday’s lab: Exam office hours
No office hours while take-home exam is out
Exam 01
20s% of final course grade
50 points total
- in-class: 35-40 points
- take-home: 10 - 15 points
In-class: 75 minutes during Tuesday, October 8 lecture
Take-home: due October 10 at 11:30am (we will have class Thursday)
If you miss any part of the exam for an excused absence (with academic dean’s note), your Exam 02 score will be counted twice
Content: Weeks 1 - 6
Exploratory data analysis
Fitting and interpreting linear regression models
Model assessment and comparison
ANOVA
Categorical + interaction terms
Inference for model coefficients
Matrix representation of regression
Hat matrix
Finding the least-squares estimator (no geometric interpretation)
Assumptions for least-squares regression
Properties of the least-squares estimator
Outline of in-class portion
Closed-book, closed-note.
8 questions, some with multiple parts
Question types:
- Short answer (show work / explain response)
- True/ False.
- If false, write 1 - 2 sentence justification about why it is false.
- Derivations
Will be provided all relevant R output and a page of math rules
Just need a pencil or pen. No calculator permitted on exam.
Outline of take-home portion
- Released: Tuesday, October 8 ~ 1pm
- Due: Thursday, October 10 at 11:30 (we will have class Thursday)
- Similar in format to a lab/ HW
- Will receive Exam questions in README of GitHub repo
- Formatting + using a reproducible workflow will be part of grade
- Submit a PDF of responses to GitHub
Application exercise
Sit with your lab group.
Select one person to present your group’s response to the class.
Select one person to post your group’s response to the Google slides.
