The document analyzes a movie dataset from IMDB containing over 5,000 movie titles and attributes to predict movie success based on characteristics like Facebook likes. Two multiple linear regression models were created, one standard and one using stepwise variable selection. Sensitivity analysis found that total cast Facebook likes was most influential on gross revenue, while IMDB score and director Facebook likes were least influential. The analysis can help movie professionals and audiences predict success and spending.