Linear regression with a multiple predictors II

Lecture 17

Author
Affiliation

Dr. Mine Çetinkaya-Rundel

Duke University
STA 199 - Fall 2024

Published

October 31, 2024

Warm-up

While you wait…

  • Go to your ae project in RStudio.

  • Make sure all of your changes up to this point are committed and pushed, i.e., there’s nothing left in your Git pane.

  • Click Pull to get today’s application exercise file: ae-15-modeling-loans.qmd.

  • Wait till the you’re prompted to work on the application exercise during class before editing the file.

Announcements

  • Peer evaluations (via TEAMMATES) are due by Friday (tomorrow), 5 pm.
  • Lab 5 due on Monday, 8:30 am.
  • You’ll receive project proposal feedback on Monday. Milestone 3 does not have a lab session dedicated, but you’re to review and address the feedback issues and close them with commits you make to your repo – opportunity to practice data science workflows and make progress on your project. Make sure you have weekly team meetings scheduled for the remainder of the semester!

Application exercise

Finish up Tuesday’s AE

  • Go to your ae project in RStudio.

  • Get back to working on ae-14-modeling-penguins-multi

ae-15-modeling-loans

  • Go to your ae project in RStudio.

  • If you haven’t yet done so, make sure all of your changes up to this point are committed and pushed, i.e., there’s nothing left in your Git pane.

  • If you haven’t yet done so, click Pull to get today’s application exercise file: ae-15-modeling-loans.qmd.

  • Work through the application exercise in class, and render, commit, and push your edits.