Analysis of Factors Predicting U.S. Domestic Box Office Revenue

This report analyzes the predictors of U.S. domestic box office revenue, focusing on the impact of positive and negative reviews, and release dates. The study utilizes data from Rotten Tomatoes and employs a regression model to assess the statistical significance of these variables. The analysis reveals that neither positive nor negative reviews, nor the release date, significantly influence a film's box office performance, leading to the failure to reject the null hypothesis. The report concludes by highlighting the need for further research, suggesting the exploration of additional predictor variables, such as film ratings, to better understand the determinants of a movie's financial success. The methodology includes a regression model, hypothesis testing, and data analysis using the Rotten Tomatoes website, with the goal of understanding the factors affecting a movie’s financial performance.