Midterm 03 has two parts. Both parts are due at 5pm on Tuesday, April 28. BOTH PARTS REQUIRE SUBMISSIONS ON CANVAS

Part 01

  1. The first part of this exam is intended to take no more than 75 minutes (I expect it may take even less time), you will have 2 hours from when you begin the exam to turn it in. The exam must be turned in by Tuesday, April 28, at 5pm Eastern.
  2. You can find the exam on Canvas under “Quizzes” Midterm 03: Part 1
  3. You should complete this exam in Google Chrome.

This exam is open book. Open book exams are defined as follows:

Part 02

  1. The second part of this exam is an analysis. I have provided you with a data set in a GitHub repo - search for midterm-03 on our class GitHub site (https://github.com/sta-363-s20)
  2. The goal is to predict y using any of the 30 variables provided. You may use any techniques we have learned so far.
  3. I have held out some test data that I will try on your model.
  4. When you have finished the analysis portion, submit your final model on Canvas. You can find this portion of the exam on Canvas under “Quizzes”: Midterm 03: Part 2.
  5. You will need to specify:

The final model specification should be submitted in the following form:

final_spec <- -----() %>%
   set_engine(----)

The final model fit should be submitted in the following form:

final_fit <- fit(
  final_spec,
   ------,
   data = dat)