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Author(s): Mithilesh Kumar Singh, Arti Dhankhar, Rakesh Kumar Patel, Rajeev Choudhary

Email(s): Email ID Not Available

Address: Research Scholar, School of Studies in Physical Education, Pt. Ravishankar Shukla University, Raipur (C.G.)
Associate Professor, Ramjas College, University of Delhi
Lecturer, DIET, Shahjahanpur (U.P.)
Professor in Physical Education, Pt. Ravishankar Shukla University, Raipur (C.G.)
*Corresponding author: artidhankhar@ramjas.du.ac.in

Published In:   Volume - 28,      Issue - 2,     Year - 2022

DOI: 10.52228/JRUA.2022-28-2-6  

ABSTRACT:
Objective: The study was conducted with an objective to prophesy the spiker’s performance on the basis of anthropometric characteristics. Variables: In the study, Spiker’s Performance was selected as dependent variable (DV) and selected anthropometric characteristics i.e. SH (Spiker’s Height), SW (Spiker’s Weight), SAL (Spiker’s Arm Length), SFAL (Spiker’s Fore Arm Length, SUAL (Spiker’s Upper Arm Length), SUAC (Spiker’s Upper Arm Circumference), SWC (Spiker’s waist Circumference), SHC (Spiker’s Hip Circumference), SLL (Spiker’s Leg Length), SLLL (Spiker’s Lower Leg Length), STC (Spiker’s Thigh Circumference) and SCC (Spiker’s Calf Circumference) were observed independent variables (IV). Subjects: For the purpose of the present study, 75 spikers were selected as subjects from interuniversity level volleyball tournament organized in India. Statistical Analysis: To find out relationship between Dependent Variable (Spiker’s Performance) and Independent Variables (selected Anthropometric Characteristics), product moment correlation and multiple correlations were applied. For the prophecy of Dependent Variable (Spiker’s Performance) on the basis of Independent Variables (selected Anthropometric Characteristics), multiple regression equation was applied. Conclusions: For the prophecy of Dependent Variable (Spiker’s Performance) on the basis of Independent Variables (selected Anthropometric Characteristics) two regression models are established. Established regression models are: (1) Spiker’s Performance = -35.586 +.667 X Spiker’s Arm Length and (2) Spiker’s Performance = -23.512 +.458 X Spiker’s Arm Length + .210 X Spiker’s Upper Arm Circumference.

Cite this article:
Singh, Dhankhar, Patel and Choudhary (2022). Prophesy of Spiker Performance on the basis of selected Anthropometric Characteristics. Journal of Ravishankar University (Part-A: SOCIAL-SCIENCE), 28(2), pp. 41-50.DOI: https://doi.org/10.52228/JRUA.2022-28-2-6


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