STA 210 - Regression Analysis

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 9	Welcome to STA 210!
2	M	Jan 13	Lab 00: Getting started
	Tu	Jan 14	The big picture
	Th	Jan 16	Simple linear regression
3	M	Jan 20	No lab: Martin Luther King Jr. Day
	Tu	Jan 21	Inference: Bootstrap confidence intervals
	Th	Jan 23	Inference: Permutation tests
4	M	Jan 27	Lab 01: Simple linear regression
	Tu	Jan 28	Inference: Mathematical models								HW 01 due
	Th	Jan 30	Multiple linear regression (MLR)								Lab 01 due, Statistics exprience assigned
5	M	Feb 3	Lab 02: Inference for regregression + Meet your team!
	Tu	Feb 4	Model evaluation
	Th	Feb 6	Model comparison								Lab 02 due
6	M	Feb 10	Lab 03: Model comparison
			Project research questions
	Tu	Feb 11	Model comparison + Inference for MLR								HW 02 due
	Th	Feb 13	Exam 01 review								Lab 03 due
	Su	Feb 16									Project research topics due
7	M	Feb 17	Exam 01 review (finish AE 07)
	Tu	Feb 18	Exam 01
	Th	Feb 20	No lecture: Exam 01 Take-home
8	M	Feb 24	Lab: Project proposal
	Tu	Feb 25	Model conditions + diagnostics
	Th	Feb 27	Multicollinearity								Project proposal due
9	M	Mar 3	Lab 04: Expanding multiple linear regression
	Tu	Mar 4	Multicollinearity cont'd
			Variable transformations
	Th	Mar 6	Variable transformations cont'd								Lab 04 due
10	M	Mar 10	No lab: Spring break
	Tu	Mar 11	No lecture: Spring break
	Th	Mar 13	No lecture: Spring break
11	M	Mar 17	Lab: Project exploratory data analysis
	Tu	Mar 18	Probabilities + Odds + Odds ratios								HW 03 due
	Th	Mar 20	Logistic regression (LR)								Project EDA due
12	M	Mar 24	Lab 05: Logistic regression
	Tu	Mar 25	LR: Prediction + Assessment
	Th	Mar 27	LR: Model comparison								Lab 05 due
13	M	Mar 31	Lab: Project presentations
	Tu	Apr 1	LR: Model comparison + Inference
	Th	Apr 3	LR: Model conditions
			Mulitnomial logistic regression
14	M	Apr 7	Lab: Project work day
	Tu	Apr 8	Multinomial: Inference + Prediction								HW 04 due, Team Feedback due
	Th	Apr 10	Cross Validation								Lab 06 due
15	M	Apr 14	Lab 06: Multinomial logistic regression								Analysis draft due
	Tu	Apr 15	Exam 02 review								Statistics experience due, Lab 06 due
	Th	Apr 17	Exam 02
16	M	Apr 21	Lab: Project peer reivew
	Tu	Apr 22	Project meetings
Exam period	We	Apr 30									Project written report due
	Fr	May 2									Project highlights + Repo due
	Sa	May 3									Project survey due