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Talent Identification for Competitive Yoga: Multiple Regression Analysis Aproach

Authors

Chandra Shekhar Singh

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

Prof. Neelam K Sharma

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

Article Information

DOI: 10.51583/IJLTEMAS.2025.1408000044

Subject Category: Physical Education & Sports Science

Volume/Issue: 14/8 | Page No: 365-372

Publication Timeline

Submitted: 2025-09-01

Published: 2025-09-01

Abstract

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.

Keywords

Competitive Yoga, Anthropometric, Physical, Physiological Predication and Multiple Regression

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