<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The most important thing in sports training is the development of ability, and the emergence of outdoor sports has made people realize that sports can better improve the efficiency of sports when they are integrated into the outdoors. The association between outdoor sports and physical training is analyzed in this paper using the association rule algorithm and chi-square test. Based on the number of correlation items in the dataset of outdoor sports and physical training, it can be determined whether there is a correlation or not. Combining the chi-square values and the degrees of freedom calculated from the column table, the significance levels of outdoor sports and physical training were obtained under the condition that the null hypothesis was valid. To determine the association value of outdoor sports and physical training, the distance of the serial curves between them was calculated. The focus was on exploring the common motivations of outdoor sports and physical training, as well as the relationship between outdoor spatial elements and exercise time and frequency. The results showed that Pearson’s chi-square value of outdoor exercise and physical training was 77.367, p=0.000, and the p-value was less than 0.05. Accessibility had a direct effect on fitness frequency, with the role effect values of 0.237* and 0.213*, respectively. The role effect value of physical environment on fitness time was 0.192*. It shows that combining outdoor space with physical training can increase the fitness frequency of exercisers.</p>
</abstract>

The most important thing in sports training is the development of ability, and the emergence of outdoor sports has made people realize that sports can better improve the efficiency of sports when they are integrated into the outdoors. The association between outdoor sports and physical training is analyzed in this paper using the association rule algorithm and chi-square test. Based on the number of correlation items in the dataset of outdoor sports and physical training, it can be determined whether there is a correlation or not. Combining the chi-square values and the degrees of freedom calculated from the column table, the significance levels of outdoor sports and physical training were obtained under the condition that the null hypothesis was valid. To determine the association value of outdoor sports and physical training, the distance of the serial curves between them was calculated. The focus was on exploring the common motivations of outdoor sports and physical training, as well as the relationship between outdoor spatial elements and exercise time and frequency. The results showed that Pearson’s chi-square value of outdoor exercise and physical training was 77.367, p=0.000, and the p-value was less than 0.05. Accessibility had a direct effect on fitness frequency, with the role effect values of 0.237* and 0.213*, respectively. The role effect value of physical environment on fitness time was 0.192*. It shows that combining outdoor space with physical training can increase the fitness frequency of exercisers.

Studying the Integration Development Strategy of Outdoor Sports and Physical Training in the Background of the Internet

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

The most important thing in sports training is the development of ability, and the emergence of outdoor sports has made people realize that sports can better...

Studying the Integration Development Strategy of Outdoor Sports and Physical Training in the Background of the Internet

Published Online: Dec 18, 2023

Page range: -

Received: Feb 22, 2023

Accepted: Jun 28, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01533

Keywords
Association rule algorithm, Chi-square test, Chi-square value, Serial curve distance, Physical training

© 2023 Yao Cheng, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Studying the Integration Development Strategy of Outdoor Sports and Physical Training in the Background of the Internet

Published Online: Dec 18, 2023

Page range: -

Received: Feb 22, 2023

Accepted: Jun 28, 2023

DOI: https://doi.org/10.2478/amns.2023.2.01533

KeywordsAssociation rule algorithm, Chi-square test, Chi-square value, Serial curve distance, Physical training

© 2023 Yao Cheng, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
Association rule algorithm, Chi-square test, Chi-square value, Serial curve distance, Physical training