STA 221 - Regression Analysis: Theory and Applications

This page contains an outline of the topics, content, and assignments for the semester. Note that this schedule will be updated as the semester progresses, with all changes documented here.

week	dow	date	topic	prepare	slides	ae	hw	lab	project	notes
1	M	Aug 26	Lab 00: Welcome + Getting Started
	Tu	Aug 27	Welcome to STA 221!
	Th	Aug 29	Simple linear regression (SLR)
2	M	Sep 2	NO LAB: Labor Day
	Tu	Sep 3	SLR: Model assessment
	Th	Sep 5	SLR: Model assessment cont'd
			SLR: Matrix representation
3	M	Sep 9	Lab 01: Simple linear regression
	Tu	Sep 10	SLR: Matrix representation cont'd
			Multiple linear regression
	Th	Sep 12	MLR: Categorical predictors + Model assessment							HW 01 assigned, Lab 01 due
4	M	Sep 16	Lab 02: Multiple linear regression + Meet your team!
	Tu	Sep 17	ANOVA + Geometric interpretation
	Th	Sep 19	Inference for regression							HW 01 due, Lab 02 due
5	M	Sep 23	Lab 03: Inference for regression
			Project: Develop Research question
	Tu	Sep 24	Inference for regression cont'd
	Th	Sep 26	Properties of estimators							HW 02 assigned, Project research questions due
6	M	Sep 30	Lab 03 + Project proposal
	Tu	Oct 1	Properties of estimators
	Th	Oct 3	Exam 01 Review							HW 02 due, Lab 03 due, Project proposal due
7	M	Oct 7	Lab :Exam office hours
	Tu	Oct 8	Exam 01
	Th	Oct 10	Maximum Likelihood Estimation
8	M	Oct 14	NO LAB: Fall Break
	Tu	Oct 15	NO LECTURE: Fall Break
	Th	Oct 17	MLR: Model diagnostics							Exam 01 corrections assigned
9	M	Oct 21	Lab 04: Maximum likelihood estimation
	Tu	Oct 22	MLR: Multicollinearity
	Th	Oct 24	MLR: Variable transformations							Exam 01 corrections due, Lab 04 due, HW 03 assigned
10	M	Oct 28	Lab: Project exploratory data analysis
	Tu	Oct 29	MLR: Model comparison
	Th	Oct 31	Probabilities + Odds + Odds ratios							HW 03 due, Project EDA due
11	M	Nov 4	Lab: Expanding multiple linear regression
	Tu	Nov 5	Wellness Day
	Th	Nov 7	Logistic regression (LR)							Lab 05 due
12	M	Nov 11	Lab: Project presentations
	Tu	Nov 12	LR: Prediction + assessment
	Th	Nov 14	LR: Inference							HW 04 assigned
13	M	Nov 18	Lab: Logistic regression
	Tu	Nov 19	LR: Assumptions + estimation
	Th	Nov 21	Logistic regression review							HW 04 due
14	M	Nov 25	Project work day
	Tu	Nov 26	Project meetings
	Th	Nov 28	NO LECTURE: Thanksgiving
15	M	Dec 2	Project: Peer review
	Tu	Dec 3	Exam 02 review
	Th	Dec 5	Exam 02
Exam period	th	Dec 12	Final report + GitHub repo due