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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References
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