International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 7 Issue 2
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Regression Analysis of Physical Fitness Components in University Ranked Badminton Players: Predicting Performance through Physical Attributes

Author(s) Dr. Shalini Menon, Mamta Kumari, Neha .
Country India
Abstract This study aims to analyze the relationship between physical fitness components (independent variables) and badminton performance (dependent variables) among university-level badminton players. Various independent variables related to physical fitness were assessed, including height, weight, body mass index (BMI), flexibility, agility, speed, balance, explosive strength, muscular endurance, and cardiovascular endurance.The dependent variables representing badminton performance included competitive efficiency, reaction time, smash power, court coverage, and consistency during match performance.
Methodology: For this study, nineteen All-India University female badminton players who participated in the All India Inter University Tournament were selected as subjects. The age range of the participants was 18 to 25 years. To determine the relationship between physical fitness components and badminton performance, statistical tools such as correlation analysis and multiple regression analysis were applied.
Results & Conclusion: The findings suggest that side way agility and flexibility significantly impact badminton performance, while other factors contribute at varying levels. These insights provide valuable guidance for coaches and sports scientists to develop targeted training programs that enhance player efficiency. The study highlights the importance of scientifically structured training regimens to improve overall competitive success.
Keywords Badminton, Physical Fitness Components, Performance Analysis, Agility, Strength, Balance, Endurance, Reaction Time, Court Coverage, Sports Science, Statistical Analysis
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-04-01
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E-ISSN 2582-2160
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