Film is an audio-visual communication medium that not only provides entertainment but also offers information and can even touch the emotions of the audience. In making some films that will be published, there is some of the industry called film industry and can be some target to invest. This paper presents a linear regression model developed to support investment decisions in the film industry, specifically focusing on predicting the potential income of film studios from movies that will be released. This paper aims at the film industry because the film industry can be a high risk, high reward. Using a comprehensive dataset from Kaggle, this study employs data mining techniques in the RapidMiner application using a regression model to forecast financial returns from movie productions. The model facilitates comparative analysis, offering investors insights into the viability of funding specific film studios based on predicted earnings. The results indicate that our model can effectively guide investment strategies by identifying studios with the highest revenue potential. This research contributes to the existing body of knowledge by applying linear regression to an investment context in the film industry and provides a practical tool for investors who want to aim for film investment to optimize their film studio portfolios. The result provides two of the studio films with good results to be chosen for investment, which were Marvel Comics and LucasFilm studio.