11.2 Class Announcements
Lab 2-Regression
Overview
- Setting: You are data scientists for a maker of products.
- Task: You select your own research question
- Your X should be an aspect of product design
- Your Y should be a metric of product success
- Deliverable: A statistical analysis that includes
- An introduction that motivates your research question
- A description of your model-building process
- A discussion of statistical assumptions that may be problematic
- A well-formatted regression table with a minimum of 3 specifications
- A conclusion that extracts key lessons from your statistical results
The Report
- Writing for a collaborating data scientist, what research question have you asked, what answers have you found, and how did you find them?
| Deliverable Name | Week Due | Grade Weight |
|---|---|---|
| Research Proposal | Week 12 | 10% |
| Within-Team Review | Week 14 | 5% |
| Final Presentation | Week 14 | 10% |
| Final Report | Week 14 | 75% |
Team Work Evaluation
- Most data science work happens on teams.
- Our educational goals include helping you improve in your role as a teammate.
- We’ll ask you to fill out a confidential evaluation regarding your team dynamics.
Final Presentation
- Team will present their work in live session 14.
- Teams have between 10-15 min dedicated to discussing their work (depending on section size)
- Two-thirds of the time can be the team presenting
- BUT at least one-third should be asking and answering questions with your peers
- For example, if teams have 15 minutes total, then plan to present for no more than 10 minutes and structure 5 minutes of questions.