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International Journal of Yogic, Human Movement and Sports Sciences
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ISSN: 2456-4419, Impact Factor: RJIF 5.18

International Journal of Yogic, Human Movement and Sports Sciences

2018, Vol. 3 Issue 1, Part N

Prediction of power lifting performance on the basis of selected anthropometric variables

AUTHOR(S): Sunil Kumar and Kuldeep Singh
ABSTRACT:
Purpose: The purpose of the study was to predict the Power lifting performance on the basis of selected anthropometric variables.
Methodology: The subjects of the study were randomly selected from Punjabi university patiala. The age of the subjects were from 18-26 years. Total 20 male inter-college medalist players were selected on the basis of the weight category (74 kg.). All the procedure was explained by the research scholar before the hand. There were 11 anthropometric variables for predicting the power lifting performance i.e. Age, Height, Weight, Right Arm Length, Left Arm Length, Waist Circumference, Hips Circumference, Left Leg Length, Right Leg Length, Left Thigh Circumference and Left Calf Circumference.
Statistical Analysis: In order to correlate the power lifting performance with the selected anthropometrical variables, Pearson’s Product Moment Correlation and Multiple Correlation were employed. For predicting the power lifting performance, Regression Equation was made.
Result: On the basis of the analysis it was found that only Height, Right Arm Length, and Right Leg Length have significant relationship with the power lifting performance in 74 kg. weight category.
Conclusion: In the findings multiple correlation analysis yielded two model for predicting the power lifting performance in 74 kg. weight category. In the first model Height and in the second model Height and Left Arm Length were dominant. So it was concluded that from the Selected Anthropometric Variables, Height and Left Arm Length were the best predictors.
Pages: 774-777  |  308 Views  3 Downloads
How to cite this article:
Sunil Kumar and Kuldeep Singh. Prediction of power lifting performance on the basis of selected anthropometric variables. International Journal of Yogic, Human Movement and Sports Sciences. 2018; 3(1): 774-777.
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