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A Beginner's Guide to Sports Analytics: Predictive Modelling with Machine Learning in R.
This is a detailed case study on predicting fan attendance on matchdays for the Singapore Premier League (SPL). It is intended as a complete tutorial for R beginners and aspiring analysts. Following a 9-step process, this guide provides all the code and instructions needed to: Create a mock dataset for analysis. Build a predictive model using linear regression. Use stepwise selection (AIC) to find the best-fitting model. Validate the model's performance on a test set. Statistically determine which factors (e.g., stadium capacity, match importance, team popularity) are the most significant drivers of attendance.
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