This project aimed at assisting the FC Cincinnati in making strategies for boosting attendance. This project is composed of four parts as follows:
- Create a dataset of game-by-game home attendance for the FC Cincinnati’s 2019 season
- Construct a game-by-game attendance forecast model using Poisson Regression
- Determine whether or not weekend games have a statistically significant impact on attendance
- Determine whether or not win percentage at the time of the game has a significant impact on attendance