Correlation Analysis of Sprint Performance and Reaction Time Based on Double Logarithm Model

Author:

Zhang Jing1,Lin Xin-Yu2,Zhang Su3ORCID

Affiliation:

1. Faculty of Physical Education, Shanghai International Studies University, Shanghai 200083, China

2. School of Applied Mathematics, Anhui University of Finance and Economics, Bengbu 233030, China

3. Department of Physical Education, Anhui University of Finance and Economics, Bengbu 233030, China

Abstract

In sprint track events, the starting reaction time is an important professional capacity of the athletes, and it is closely related to their performance. This study examines the reaction time and the results of the male and female sprinters participating in the World Athletics Championships from 2011 to 2019 in the 100 m, 200 m, 100 m, and 110 m hurdles. The researchers used least squares estimation, multivariate analysis of variance, and other methods and theories to construct a double logarithmic model and a multivariate analysis of a variance model. The researchers used Econometrics Views and SPSS software programs to analyze the correlation between the performance and the starting reaction time, as well as the patterns in the changes of the reaction time of athletes of both genders in different types of and rounds in the competitions. Research results show that there is a direct correlation between the reaction time and the performance, and the degrees of correlation vary depending on the gender of the athlete, year of competition, type of competition, and round of competition. There is a correlation between the foul types and the type of competition, but there is no correlation between foul types and the gender of the athlete. The research results are science-based and are of practical value and thus can be used as a reference by coaches in sprint running to offer more professional guidance to the athletes.

Funder

Anhui Department of Education

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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