Statistical Analysis of Factors Impacting Hotel Review Scores in the Las Vegas Strip
Presented by:
Ian Johnston (University of Notre Dame)
Abstract:
Due to the well known nature of Las Vegas as a large hub for gambling and travel, a study was conducted to look at the factors which would best help to predict TripAdvisor ratings for hotels on the Las Vegas Strip. A high hotel rating would likely translate to higher foot traffic in the corresponding hotel and thus a higher income. The data used described stays in the hotels in the year 2015. After fitting a linear regression model, it was found that hotel name, specific types of visitors, and the existence of a pool or free internet were the most significant factors which could help predict the ratings score. Through a knowledge of these factors, hotels on the Vegas Strip could focus resources on the parts of hospitality service which would maximize review scores on average.
Materials:
Statistical Analysis of Factors Impacting Hotel Review Scores in the Las Vegas Strip.pdf