Numerical Modelling of Player's Historical Position Based on Principal Component Analysis and Quadratic Regression Analysis

Abstract:
Data peak is one of the most intuitive means to clarify a player's historical status. How to more accurately calculate the player's peak data values has a great significance for the new generation players to improve their own playing technology and improvement. Regression analysis is one of the extremely widely used Quantitative analysis methods, which can be a good explanation of the correlation between complex data. Therefore, this article applies spss, matlab, etc. to analyse the player's complete data and establishes a simple linear regression model, which is then extracted by principal component analysis. The numerical regression model is established and the accuracy of the model is verified.

Key Words:
Historical Status, Principal Component Analysis, Quadratic Regression Model

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