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Application of Multiple Regression Analysis Model in Table Tennis Competition
Yuanjing Li1, Yi Wang1, Nan Gu2
1The Department of Physical Education, Hebei University of Economics and Business, Shijiazhuang 050061, China.
Journal of Environmental and Public Health
|August 12, 2022
Summary
Table tennis mixed doubles is gaining attention. Analysis shows female players may offer more consistent performance, and specific regression models effectively analyze high-level competitions.
Area of Science:
- Sports Science
- Performance Analysis
- Table Tennis Research
Background:
- Growing global interest in table tennis mixed doubles since its inclusion in the Olympic Games.
- Need for advanced analytical methods to understand mixed doubles performance dynamics.
Purpose of the Study:
- To analyze the performance of table tennis mixed doubles teams using multiple regression.
- To identify factors influencing game outcomes and evaluate the efficiency of different analytical models.
Main Methods:
- Analysis of 20 mixed doubles finals through literature review and video observation.
- Application of multiple regression models to assess score contributions and game dynamics.
Main Results:
- Minimal score difference observed between male and female players, with female players potentially showing greater consistency.
- Model 2 demonstrated higher efficiency in analyzing high-level table tennis competitions compared to other models.
- Regression models effectively analyze singles, doubles, and mixed doubles matches.
Conclusions:
- Multiple regression models are valuable tools for analyzing and predicting outcomes in table tennis, including mixed doubles.
- Future research will likely see increased use of these models in table tennis performance analysis.
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