High Impact Practices Student Showcase Spring 2026

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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

What Makes a Listing Worth More? A Regression Analysis of Airbnb Pricing Factors in New York City


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