Mini Project 1
Poisson Regression
Project Setup
- Pick a partner.
- One student should create a new R project in the class shared folder, STA363_inst_files->mini_projects (not your own folder). This allows both students to have access. Put both member’s initials in the project name.
- Create a new folder inside your project folder called data
- Create qmd or script files as needed.
Instructions
Find data with a reasonable poisson response that you are interested in. Clean that data. Fit and interpret poisson regression models. Summarize your findings.
Data Options. Check out Data Links on the Useful Links part of the course website. TidyTuesday has quickly accessible data.
This project will be in a workshop style. The intention is for you to start and finish by the end of class time. We will follow a timeline:
| Task | Timing |
|---|---|
| Find Appropriate Data | 9:00 am - 9:20 am |
| Clean Data | 9:20 am - 9:50 am |
| Perform EDA | 10:00 am - 10:30 am |
| Fit, Assess, and Compare Regression Models | 10:30 am - 11:00 am, 1:00 pm - 2:00 pm |
| Prepare presentation | 2:00 pm - 2:20 pm |
| Present your findings | 2:20 pm - 2:40 pm |
| Submit your Final Report | Submit HTML Sunday 9/1 at 11:59 pm |
Grading
Each Mini Project is worth 50 points (Labs are 10 points each).
| Category | Points |
|---|---|
| The data chosen is appropriate, and the cleaning steps are correct and explained. | 5 |
| EDA is thorough. All included graphs and tables are paired with a discussion. EDA supports the choice of modeling technique. | 15 |
| The model fitting process has a logical flow. Multiple models are considered and compared using statistical tests and multiple metrics. Any model that is interpreted has been assessed using residual plots and appropriate statistical tests. | 15 |
| The code follows a sensible order and has been appropriately commented on. | 5 |
| The presentation is concise, describes the data, highlights key parts of the EDA, describes minimally the final model, gives at least 1 interpretation in the context of a coefficient, and discusses limitations and potential future work. | 5 |
| The report is well written, with correct spelling and grammar. The used code is included either inline or in an appendix at the end. | 5 |
Submission
Add format part of your final report document and then re-render:
```{r}
#| label: yaml_example
#| eval: false
---
title: "Document title"
author: "my name"
format:
html:
embed-resources: true
---
```When you are finished with your homework, be sure to Render the final document. Once rendered, you can download your file by:
- Finding the .html file in your File pane (on the bottom right of the screen)
- Click the check box next to the file
- Click the blue gear above and then click “Export” to download
- Submit your final html document to the respective assignment on Moodle