Oct 02, 2023
15% of final course grade
50 points total
In-class: 75 minutes during Wed, Oct 4 lecture
Take-home:
If you miss any part of the exam for an excused absence (with academic dean’s note), then Exam 02 score will be counted twice
Exploratory data analysis
Fitting and interpreting simple linear regression models
Statistical models and regression equations
Simulation-based inference
Mathematical models for inference
Prediction
Model conditions
Model evaluation
Basics of multiple linear regression
Closed-book, closed-note.
10 questions, some with multiple parts
Question types:
Last page (front and back) will have analysis output.
Just need a pencil. No calculator permitted on exam.
Sit with your lab group.
Put your group’s response to your assigned exercise on Ed Discussion.
Section 001: edstem.org/us/courses/44523/discussion/3542094
Section 002: edstem.org/us/courses/44523/discussion/3542095