High Impact Practices Student Showcase Spring 2026
Files
Course Code
STA
Course Number
4164
Faculty/Instructor
Professor Nathaniel Simone
Faculty/Instructor Email
nathaniel.simone@ucf.edu
Abstract, Summary, or Creative Statement
The purpose of this project was to explore the use of linear regression in a real-world application, specifically Airbnb listings in New York City. Throughout the project, we learned how to identify and separate useful data points from those that could negatively impact the model. Additionally, we analyzed the final model to draw meaningful conclusions based on the results.
Keywords
Linear Regression; Airbnb; Pricing Model; Housing; New York; New York City
Recommended Citation
Mujtaba, Usman and Maisuria, Krish, "What Makes a Listing Worth More? A Regression Analysis of Airbnb Pricing Factors in New York City" (2026). High Impact Practices Student Showcase Spring 2026. 48.
https://stars.library.ucf.edu/hip-2026spring/48
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