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Football Attendance Forecasting

Overview

This project aimed at assisting the FC Cincinnati in making strategies for boosting attendance. This project is composed of four parts as follows:

  1. Create a dataset of game-by-game home attendance for the FC Cincinnati’s 2019 season
  2. Construct a game-by-game attendance forecast model using Poisson Regression
  3. Determine whether or not weekend games have a statistically significant impact on attendance
  4. Determine whether or not win percentage at the time of the game has a significant impact on attendance

Link to the project

  1. https://rpubs.com/slam5827188/715480

Releases

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