IJFANS International Journal of Food and Nutritional Sciences

ISSN PRINT 2319 1775 Online 2320-7876

DEVELOPING A REGRESSION MODEL FOR PREDICTING THE BATSMEN'S PERFORMANCE IN CRICKET ON ANTHROPOMETRIC PARAMETERS

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Neeraj Kumar ,Dr. R.P. Garg

Abstract

This research aimed to ascertain the connection between anthropometric characteristics and cricket batting performance. Using random sampling, a total of 25 male participants were chosen from the cricket academy, practice game, and camp in Haryana. The participants were all frequent gamers with high skills, ranging in age between 17 to 28 (19.16 + 1.37). In this study, the following variables were measured: age, height, body weight, full arm length, hand length, whole leg length, chest girth, abdomen girth, hip girth, humerus bicondylar diameter, wrist diameter, thigh skinfold, calf skinfold, BMI, and fat %. The Pearson correlation approach, stepwise multiple regression, and descriptive statistics were all employed for analysis in this study. The level of significance was 0.05. The outcome of this analysis showed the only anthropometric characteristics that accurately predicted cricket batting performance were player age, chest skinfold, and thigh skinfold

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