Application Exercise

1. Open Rstudio Server Pro
2. Create a new project
3. Click File > New File > R Markdown
4. Delete everything except for

---
title: "Untitled"
output: html_document
---

5. Give your work a sensible title
6. When you’ve finished, upload the .html file to Canvas

• Set a seed
• Use the sample() function to sample from the following vector with replacement: c(1, 2, 3, 4, 5)
• Write a function to perform a bootstrap.
• Using the function created in the previous exercise, run a bootstrap on the following model:

Using the mtcars data set fit a model predicting mpg from wt and cyl.

• Calculate a bootstrap percentile confidence interval for the coefficient associated with wt
• Calculate a bootstrap confidence interval using the standard error method for the coefficient associated with wt
• Compare these intervals to the interval computed from the confint function.