Mathematics Senior Capstone Papers
Document Type
Article
Publication Date
Spring 2023
Abstract
Risk assessment is an important aspect of many careers such as first responders and the military. This is no different for people who play sports, especially people who are in contact sports such as football. These players’ lives can be changed forever with one bad hit. The goal of this research is to analyze the probability of an injury for the National Football League’s (NFL) quarterbacks. It is hard to predict when, what, and where an injury will occur, because of this very little work has been done on the subject matter in a general form. The goal of this paper is to determine what variables play a role in factoring into a player being injured. The data was collected using NFL combine data as well as historical injury reports. We performed a binary logistic regression analysis with the variables and whether or not a player was injured in a season. This general model can be used for quarterbacks within the NFL to determine if they should keep playing based on their data during that time or end their careers.
Recommended Citation
Weems, Julie, "Regression Analysis of Injuries on NFL Quarterbacks" (2023). Mathematics Senior Capstone Papers. 33.
https://digitalcommons.latech.edu/mathematics-senior-capstone-papers/33