2016International Journal of Physical Education Sports and HealthRequires access

Anthropometric variables as predictors of speed ability of physical education students

Vishan Singh Rathore, Mukesh Kumar Mishra

Open publisher page 4 citations

Abstract

Purpose: -The first purpose of the study was to find out correlation between Independent Variables (selected Anthropometric Parameters) and Dependent Variable (Speed Ability). The second purpose of the research was to study the joint contribution of Independent Variables in estimating Dependent Variable and the third purpose was to establish regression equation for predicting Dependent Variable on the basis of Independent Variables. Methodology: - Total of 40 male students were selected from Department of Physical Education, Guru Ghasidas Vishwavidyalaya Bilaspur. Age of the subjects was ranging between 22 to 26 years. Selected Variables were Height, Weight, Leg Length, Thigh Circumference and Calf Circumference (Independent Variables). Speed was considered as Dependant Variable. The selected variables were measured by different tests and instruments. To find out correlation between Independent Variables (Height, Weight, Leg Length, Thigh Circumference and Calf Circumference) and Dependent Variable (Speed Ability), Product Moment Method of correlation was used. To study the joint contribution of Independent Variables in estimating Dependent Variable, Multiple correlation method was used. Regression equation was established for predicting Dependent Variable on the basis of Independent Variables. Findings: - There exists a significant relationship between speed and Height (r = .785, p .05). Regression equation Speed ability = 22.500-.078 (Height) -.045 (Leg Length) + .025 (Weight).

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What this paper is about

Purpose: -The first purpose of the study was to find out correlation between Independent Variables (selected Anthropometric Parameters) and Dependent Variable (Speed Ability). The second purpose of the research was to study the joint contribution of Independent Variables in estimating Dependent Variable and the third purpose was to establish regression equation for predicting Dependent Variable on the basis of Independent Variables. Methodology: - Total of 40 male students were selected from Department of Physical Education, Guru Ghasidas Vishwavidyalaya Bilaspur. Age of the subjects was ranging between 22 to 26 years. Selected Variables were Height, Weight, Leg Length, Thigh Circumference and Calf Circumference (Independent Variables). Speed was considered as Dependant Variable. The selected variables were measured by different tests and instruments. To find out correlation between Independent Variables (Height, Weight, Leg Length, Thigh Circumference and Calf Circumference) and Dependent Variable (Speed Ability), Product Moment Method of correlation was used. To study the joint contribution of Independent Variables in estimating Dependent Variable, Multiple correlation method was used. Regression equation was established for predicting Dependent Variable on the basis of Independent Variables. Findings: - There exists a significant relationship between speed and Height (r = .785, p .05). Regression equation Speed ability = 22.500-.078 (Height) -.045 (Leg Length) + .025 (Weight).

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Available abstract

Purpose: -The first purpose of the study was to find out correlation between Independent Variables (selected Anthropometric Parameters) and Dependent Variable (Speed Ability). The second purpose of the research was to study the joint contribution of Independent Variables in estimating Dependent Variable and the third purpose was to establish regression equation for predicting Dependent Variable on the basis of Independent Variables. Methodology: - Total of 40 male students were selected from Department of Physical Education, Guru Ghasidas Vishwavidyalaya Bilaspur. Age of the subjects was ranging between 22 to 26 years. Selected Variables were Height, Weight, Leg Length, Thigh Circumference and Calf Circumference (Independent Variables). Speed was considered as Dependant Variable. The selected variables were measured by different tests and instruments. To find out correlation between Independent Variables (Height, Weight, Leg Length, Thigh Circumference and Calf Circumference) and Dependent Variable (Speed Ability), Product Moment Method of correlation was used. To study the joint contribution of Independent Variables in estimating Dependent Variable, Multiple correlation method was used. Regression equation was established for predicting Dependent Variable on the basis of Independent Variables. Findings: - There exists a significant relationship between speed and Height (r = .785, p .05). Regression equation Speed ability = 22.500-.078 (Height) -.045 (Leg Length) + .025 (Weight).

Key concepts: Variables, Regression analysis, Anthropometry, Mathematics, Statistics, Circumference, Linear regression, Correlation

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