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.
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Week | Date | Topic | Prepare | Slides | AE | Lab | HW | Exam | Project |
---|---|---|---|---|---|---|---|---|---|
1 | Wed, May 11 | Welcome to STA 210 | π | π₯οΈ | π | ||||
Lab 1 - Meet the toolkit | π₯οΈ | π» | |||||||
Thur, May 12 | Simple linear regression (SLR) | π₯οΈ | |||||||
* | Fri, May 13 | SLR: Model fitting in R with tidymodels | π₯οΈ | π | |||||
Released: HW 5 | βοΈ | ||||||||
Due: Lab 1 + AE 0 | π» ποΈ | ||||||||
* | Sun, May 15 | Due: AE 1 | |||||||
2 | Mon, May 16 | SLR: Prediction + model evaluation | π | π₯οΈ | π | ||||
Lab: Intro to HW5 + AE2 (continued) | π | βοΈ | |||||||
Released: HW 1 | βοΈ | ||||||||
Tue, May 17 | SLR: Simulation-based inference | π₯οΈ | |||||||
* | Wed, May 18 | SLR: Mathematical models for inference | π₯οΈ | ||||||
Lab 2 - College scorecard | π» | ||||||||
Due: HW 1 + AE 2 | βοΈ ποΈ | ||||||||
Thur, May 19 | SLR: Model diagnostics | π₯οΈ | π | ||||||
* | Fri, May 20 | Exam 1 review | π₯οΈ | π | |||||
Released: Exam 1 | β | ||||||||
Due: Lab 2 + AE 3 | π» ποΈ | ||||||||
* | Sun, May 22 | Due: AE 4 | |||||||
3* | Mon, May 23 | Multiple linear regression (MLR) | π | π₯οΈ | |||||
Lab: Project topic ideas | π | ||||||||
Due: Exam 1 | β ποΈ | ||||||||
Tue, May 24 | MLR: Types of predictors | π₯οΈ | |||||||
Wed, May 25 | MLR: Types of predictors | π₯οΈ | |||||||
Released: HW 2 | βοΈ | ||||||||
Lab 3 - Coffee ratings | π» | ||||||||
Thur, May 26 | MLR: Model comparison | π₯οΈ | |||||||
* | Fri, May 27 | MLR: Feature engineering | π₯οΈ | π | |||||
Due: Lab 3 | π» ποΈ | ||||||||
* | Sun, May 29 | Due: HW 2 + Project topic ideas + AE 5 | βοΈ ποΈ | π | |||||
4 | Mon, May 30 | Memorial Day holiday | π | ||||||
Tue, May 31 | MLR: Cross validation | π₯οΈ | π | ||||||
* | Wed, June 1 | MLR: Inference | π₯οΈ | π | |||||
Lab: Lab 4 + project proposals | π» | π | |||||||
Due: AE 6 | |||||||||
Thur, June 2 | MLR: Inference conditions + multicollinearity | π₯οΈ | |||||||
* | Fri, June 3 | Exam 2 review | π₯οΈ | π | |||||
Released: Exam 2 | β | ||||||||
Due: Lab 4 + AE 8 | π» ποΈ | ||||||||
* | Sun, June 5 | Due: AE 7 | |||||||
5* | Mon, June 6 | Logistic regression (LR) | π | π₯οΈ | π | ||||
Lab: Work on project proposals | π | ||||||||
Due: Exam 2 | β | ||||||||
Tue, June 7 | Probabilities, odds, and odds ratios | π₯οΈ | |||||||
* | Wed, June 8 | LR: Prediction / classification | π₯οΈ | ||||||
Lab 5: General Social Survey+ project drafts | π» | π | |||||||
Due: Project proposals + AE 9 | π | ||||||||
Released: HW 3 | βοΈ | ||||||||
Thur, June 9 | LR: Model inference + comparison + conditions | π₯οΈ | π | ||||||
* | Fri, June 10 | Multinomial Logistic Regression (MultiLR) | π₯οΈ | ||||||
Due: Lab 5 + AE 10 | π» ποΈ | ||||||||
* | Sun, June 12 | Due: HW 3 | βοΈ ποΈ | π | |||||
6* | Mon, June 13 | MultiLR: Prediction + inferential models | π | π₯οΈ | |||||
Work on project drafts | π | ||||||||
Due: HW 5 | βοΈ | ||||||||
Released: HW 4 | βοΈ | ||||||||
Tue, June 14 | MultiLR: Predictive models | π₯οΈ | π | ||||||
* | Wed, June 15 | Data Wrangling | π₯οΈ | ||||||
Lab 6: Why Many Americans Donβt Vote | π» | ||||||||
Due: HW 4+project drafts | βοΈ ποΈ | π | |||||||
Thur, June 16 | Exam 3 review+Work on Project peer review of drafts | π₯οΈ | π | π | |||||
* | Fri, June 17 | Wrap-up | π₯οΈ | ||||||
Due: Lab 6 +AE 11 | π» ποΈ | ||||||||
Released: Exam 3 | β | ||||||||
* | Sun, June 19 | Due: AE 12 | |||||||
7* | Mon, June 20 | Juneteenth holiday. No class | π | ||||||
Due: Exam 3 | β | ||||||||
Tue, June 21 | Reading day | ||||||||
* | Wed, June 22 | Due: Video presentation (noon) + repo | π | ||||||
Due: Video comments | π | ||||||||
Due: Project write-up | π | ||||||||
Thur, June 23 | Final grades |