Development of Regression Equation to Predict Kabaddi Senior Boys’ Performance with the help of Digit Ratio, Stress-Vulnerability and Selected Anthropometric Variables.

Abstract

The present study developed regression equation to predict Kabaddi Senior boys’ performance with the help of digit ratio, stress-vulnerability and selected anthropometric variables. Fifty senior level male kabaddi players were selected randomly as the subjects for the study from various state of India. The data had been collected by method of the tests for the chosen variables. All the tests had been conducted at National Level Senior Kabaddi boys. To find out correlation between Independent Variables (Finger Ratio (2D:4D), Anthropometric Variable and stress vulnerability) and Dependent Variable (Kabaddi performance), partial correlation was used. The three models of multiple regressions contribute the following conclusions.

In model 1, R of 0.960 is the relationship between independent variables (2D:4D) and dependent variable (Kabaddi Performance). Adjusted R square of 0.92 justifies that 92% of Kabaddi Performance in explained by Digit Ratio.

In model 2, R of 0.968 is the relationship between independent variables (2D:4D) and Calf Girth) and dependent variable (Kabaddi Performance). Adjusted R square of .93 justifies that 93% of Kabaddi Performance in explained by Digit Ratio and calf Girth.

In model 3, R of 0.972 is the relationship between independent variables (Digit Ratio, Calf Girth and Height) and dependent variable (Kabaddi Performance).