Author(s): Vivek Pandey, Mukesh Kumar and Deepak Sharma

Abstract:
The study aims to see the relationship between various independent variables with the dependent variable, and 2nd objective of the study is to see the most contributing variable to the performance in hockey. To fulfil the purpose of the study, the investigator has collected the data on 148 samples of 12-14 years of age from north zone India. The raw data obtained from the samples was analyzed with the help of the SPSS 22 version by applying multiple correlations. In the output, it was clear that except BMI, all the variables have shown a significant relationship with the dependent variable performance. The results indicate that the independent variable body fat percentage is negatively associated with hockey performance which means if the value of one variable increases, then the value of another variable will automatically decrease and vice versa. In contrast, aerobic capacity and skeletal muscle mass are positively associated with performance which means if the value of one variable increases other will follow the same trend. Hence the null hypothesis there is no relationship between the dependent variable (performance) with the independent variable is rejected for body fat percentage, skeletal muscle mass, and aerobic capacity. In contrast, the null hypothesis fails to reject BMI as BMI's value doesn't show a significant relationship with the dependent variable. However, aerobic capacity was the most contributing physiological predictor to classify the performance as the variable that has shown the highest amount of relationship out of all selected variables. Hence, it is concluded that body fat percentage, skeletal muscle mass and aerobic capacity can be used as representative for physiological factor in future researches.

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