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Talent Identification for Competitive Yoga: Multiple Regression Analysis Aproach

Author

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  • Chandra Shekhar Singh

    (Department of Physical Education, Lovely Professional University, Phagwara, Punjab, India.)

  • Prof. Neelam K Sharma

    (Department of Physical Education, Lovely Professional University, Phagwara, Punjab, India.)

Abstract

This paper explores the relationship between anthropometric, physical, and physiological variables and competitive yoga performance. The study involved 25 yoga players aged 10 to 15 from the Delhi-NCR region. The findings indicate a substantial positive association between flexibility and yoga performance, while an insignificant link was observed between sit-ups, push-ups, balance, and yoga performance. The regression equation derived for the study was as follows: Yoga Performance = 29.157 + 1.075 (Flexibility)- 0.856 (Fat%) + (Respiratory rate). The reliability of the regression equation is supported by the R2 value of 647. Therefore, it might be concluded that the variables Flexibility, Fat %, and Respiratory rate significantly explain the variation in the Yoga performance. This study provides valuable insights into the physical aspects of yoga and its impact on performance, which can be useful for athletes and yoga practitioners alike.

Suggested Citation

  • Chandra Shekhar Singh & Prof. Neelam K Sharma, 2025. "Talent Identification for Competitive Yoga: Multiple Regression Analysis Aproach," International Journal of Latest Technology in Engineering, Management & Applied Science, RSIS International, vol. 14(8), pages 365-372, August.
    • Handle: RePEc:bjf:ijltem:v:14:y:2025:i:8:a:1620
    DOI: 10.51583/IJLTEMAS.2025.1408000044
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