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Instructor/Advisor

Melissa St. Hilaire

Keywords

Circadian, NFL, Data Science

Abstract

The goal of this project is to determine whether NFL teams perform better based on the difference between their home timezone and the timezone in which the game is being played using data from the 2003-2023 NFL seasons. The data was collected from the nflreadr package in RStudio. The variables that are included in this analysis are the timezone difference, which is the number of time zones the away team is ahead or behind their home timezone, the number of touchdowns that each team scored, and whether the away team won or lost the game. Exploratory data analysis, including summary statistics and visualizations, will be performed to explore the distribution of wins and number of touchdowns by timezone difference. Logistic regression will be applied to determine the relationship between timezone difference and the away team’s outcome. Secondary analyses will explore the relationship between timezone difference and other variables of interest.

NFL Circadian Data Analysis Project

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