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The Frontiers of Society, Science and Technology, 2020, 2(15); doi: 10.25236/FSST.2020.021516.

Multiple regression model for predicting soccer player value in English Primer League

Author(s)

Shuangxian Li

Corresponding Author:
Shuangxian Li
Affiliation(s)

Northern Illinois University        60115   America

Abstract

In this paper, market values of the football players in all teams of English Primer League in 2018-2019 season are estimated using multiple linear regression by including the physical, performance factors and club rank in 2018-2019 season. Players from English Primer League are examined, and by applying VIF test for no collinearity and Durbin–Watson test for no autocorrelation, and the most and the least affecting factors are explained in detail.

Keywords

Player value; football club; correlation analysis; multiple linear regression; regression coefficient value; significant level.

Cite This Paper

Shuangxian Li. Multiple regression model for predicting soccer player value in English Primer League. The Frontiers of Society, Science and Technology (2020) Vol. 2 Issue 15:132-143. https://doi.org/10.25236/FSST.2020.021516.

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