Presenter(s)
Sarah Marie Hartness
Files
Download Project (383 KB)
Description
Millions of flights depart in the United States every year. Using a 10% sample of all flights tracked by the Bureau of Transportation Statistics, we will study how much it costs on average to fly domestically and its distribution. We will also take the four most popular states to fly out of (California, Florida, Texas, and New York) and compare the costs people are paying to fly from these states and whether or not people are flying round trip from these states. Regression analysis will be used to study the relationship between several variables (for example, the number of passengers and the distance) and the cost of the flights. Finally, we will look at when people are flying most often. It is expected to be in the last quarter of the year due to the holiday season.
Publication Date
4-24-2019
Project Designation
Capstone Project
Primary Advisor
Ying-Ju Chen
Primary Advisor's Department
Mathematics
Keywords
Stander Symposium project
Recommended Citation
"Regression Analysis of United States Airfare" (2019). Stander Symposium Projects. 1540.
https://ecommons.udayton.edu/stander_posters/1540