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	notes	ae	hw	lab	project	due
1	Th	Jan 8	Welcome to STA 221!
	F	Jan 9	Lab 00
2	Tu	Jan 13	Simple linear regression (SLR)
	Th	Jan 15	SLR: Model evaluation
	F	Jan 16	Lab 01: Computing + Linear algebra review
3	Tu	Jan 20	SLR: Matrix representation								Lab 01 due
	Th	Jan 22	Multiple linear regression
	F	Jan 23	Lab 02: Linear regression
4	Tu	Jan 27	No Class: Cancelled due to weather								Lab 02 due
	Th	Jan 29	MLR: Types of predictors								HW 01 due, Statstics experience assigned
	F	Jan 30	Lab 03: Multiple linear regression
5	Tu	Feb 3	Types of predictors cont'd								Lab 03 due
			Inference for regression
	Th	Feb 5	Inference: Distribution of coefficients
	F	Feb 6	Lab: Project research topics
6	Tu	Feb 10	Inference: Hypothesis tests + Confidence intervals								Project research topics due
	Th	Feb 12	Exam 01 review								HW 02 due
	F	Feb 13	Lab 04: Exam 01 review
7	Su	Feb 15									Lab 04 due
	Tu	Feb 17	Exam 01
	Th	Feb 19	MLR: Model conditions + diagnostics								Take-home exam due at 9am
	F	Feb 20	Lab: Project proposal
8	Tu	Feb 24	MLR: Multicollinearity								Project proposal due
	Th	Feb 26	Variable transformations
	F	Feb 27	Lab 05: Expanding multiple linear regression
9	Tu	Mar 3	Maximum likelihood estimation								Lab 05 due
	Th	Mar 5	Properties of estimators
	F	Mar 6	Lab: Project exploratory data analysis
10	Tu	Mar 10	No lecture: Spring break
	Th	Mar 12	No lecture: Spring break
	F	Mar 13	No lab: Spring break
11	Tu	Mar 17	Model selection
	Th	Mar 19	Ridge regression								HW 03 due, Project EDA due
	F	Mar 20	Lab 06: Maximum likelihood estimation
12	Tu	Mar 24	Logistic regression (LR)								Lab 06 due
	Th	Mar 26	LR: Prediction + assessment
	F	Mar 27	Lab: Project presentations
13	Tu	Mar 31	LR: Model selection
	Th	Apr 2	LR: Inference								Statistics experience due
	F	Apr 3	Lab 07: Logistic regression
14	Tu	Apr 7	Data science ethics								Lab 07 due
	Th	Apr 9	Exam 02 review								HW 04 due
	F	Apr 10	Lab: Project peer review								Project peer review due
15	Tu	Apr 14	Exam 02
	Th	Apr 16	Special topic/project meetings								Take home exam due at 9am
	F	Apr 17	Lab: Project work day
16	Tu	Apr 21	Final exam review								Written report + GitHub repo due
Exam period	Th	Apr 30	Final exam (in-class only)