Predicting Airbnb Listing Prices in Seattle (January 2016): A Multiple Regression Analysis
Date
2-13-2024
Faculty Mentor
Mohammad Alam, Mathematical, Computing, & Information Sciences
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Files
Submission Type
Conference Proceeding
Location
9:30-9:40am | Houston Cole Library, 11th Floor
Description
This presentation highlights a data analysis project from the CS 445 Predictive Analysis course, focusing on open-source Airbnb listing data from Seattle, WA, from early January 2016. The presentation will detail the various stages of the project, including data cleansing, data normalization, and the application of dummy coding for categorical variables. An overview of multiple regression techniques will be provided, followed by the steps of model building, validation, and interpretation of the regression results predicting pricing of the listings.
Keywords
student research, computing
Rights
This content is the property of Jacksonville State University and is intended for non-commercial use. Video and images may be copied for personal use, research, teaching or any "fair use" as defined by copyright law. Users are asked to acknowledge Jacksonville State University. For more information, please contact digitalcommons@jsu.edu.
Disciplines
Numerical Analysis and Scientific Computing
Recommended Citation
Korku, Yunus, "Predicting Airbnb Listing Prices in Seattle (January 2016): A Multiple Regression Analysis" (2024). JSU Student Symposium 2024. 61.
https://digitalcommons.jsu.edu/ce_jsustudentsymp_2024/61