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Application of Multiple Regression Analysis Model in Table Tennis Competition
Since the table tennis mixed doubles competition was officially listed as the Olympic Games, the players around the world paid more attention to the project. In this background, the 20 mixed doubles finals were used in the literature, video observation, and analysis of multiple regression. From the...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359858/ https://www.ncbi.nlm.nih.gov/pubmed/35958383 http://dx.doi.org/10.1155/2022/6748465 |
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author | Li, Yuanjing Wang, Yi Gu, Nan Cao, Yecheng Ye, Minghui |
author_facet | Li, Yuanjing Wang, Yi Gu, Nan Cao, Yecheng Ye, Minghui |
author_sort | Li, Yuanjing |
collection | PubMed |
description | Since the table tennis mixed doubles competition was officially listed as the Olympic Games, the players around the world paid more attention to the project. In this background, the 20 mixed doubles finals were used in the literature, video observation, and analysis of multiple regression. From the receiving point of view, the score difference between men and women is not very great, but female players may be more consistent. The contribution of male and female scores to the game is more effective than model 1 and model 2 for different rounds. Therefore, model 2 is more efficient in the analysis of high-level table tennis competitions. Multiple regression model can be used to analyze and predict table tennis singles, doubles, and mixed doubles games, which we will see more and more in future research results. |
format | Online Article Text |
id | pubmed-9359858 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-93598582022-08-10 Application of Multiple Regression Analysis Model in Table Tennis Competition Li, Yuanjing Wang, Yi Gu, Nan Cao, Yecheng Ye, Minghui J Environ Public Health Research Article Since the table tennis mixed doubles competition was officially listed as the Olympic Games, the players around the world paid more attention to the project. In this background, the 20 mixed doubles finals were used in the literature, video observation, and analysis of multiple regression. From the receiving point of view, the score difference between men and women is not very great, but female players may be more consistent. The contribution of male and female scores to the game is more effective than model 1 and model 2 for different rounds. Therefore, model 2 is more efficient in the analysis of high-level table tennis competitions. Multiple regression model can be used to analyze and predict table tennis singles, doubles, and mixed doubles games, which we will see more and more in future research results. Hindawi 2022-08-01 /pmc/articles/PMC9359858/ /pubmed/35958383 http://dx.doi.org/10.1155/2022/6748465 Text en Copyright © 2022 Yuanjing Li et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Li, Yuanjing Wang, Yi Gu, Nan Cao, Yecheng Ye, Minghui Application of Multiple Regression Analysis Model in Table Tennis Competition |
title | Application of Multiple Regression Analysis Model in Table Tennis Competition |
title_full | Application of Multiple Regression Analysis Model in Table Tennis Competition |
title_fullStr | Application of Multiple Regression Analysis Model in Table Tennis Competition |
title_full_unstemmed | Application of Multiple Regression Analysis Model in Table Tennis Competition |
title_short | Application of Multiple Regression Analysis Model in Table Tennis Competition |
title_sort | application of multiple regression analysis model in table tennis competition |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359858/ https://www.ncbi.nlm.nih.gov/pubmed/35958383 http://dx.doi.org/10.1155/2022/6748465 |
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