Prophesy of Spiker Performance on the basis of selected Anthropometric Characteristics

M. Singh, Arti Dhankhar, R. K. Patel, R. Choudhary
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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.
根据选定的人体测量特征预测扣球运动员的表现
目的:根据人体测量学特征对扣球运动员的表现进行预测。变量:在研究中,我们选择了扣手的表现作为变量(DV),并选择了人体测量学特征,即SH(扣手身高)、SW(扣手体重)、SAL(扣手臂长)、SFAL(扣手前臂长)、SUAC(扣手上臂围)、SWC(扣手腰围)、SHC(扣手臀围)、SLL(扣手腿长)、SLLL(扣手小腿长)、SLL(扣手腿长)和SLL(扣手小腿长)。STC (Spiker’s Thigh Circumference)和SCC (Spiker’s Calf Circumference)是观察到的自变量(IV)。研究对象:为本研究的目的,在印度举办的校际排球比赛中选择75名运动员作为研究对象。统计分析:因变量(斯皮克的表现)和自变量(选定的人体特征)之间的关系,采用积矩相关和多重相关。对于因变量(Spiker’s Performance)在自变量(选定的人体测量特征)的基础上的预测,采用多元回归方程。结论:对于因变量(Spiker’s Performance)在自变量(选定的人体测量特征)的基础上的预测,建立了两个回归模型。建立的回归模型为:(1)Spiker’s Performance = -35.586 +.667X扣手臂长和(2)扣手表现= -23.512 +.458X扣球手臂长+ 0.210 X扣球手上臂围
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