( ISSN 2277 - 9809 (online) ISSN 2348 - 9359 (Print) ) New DOI : 10.32804/IRJMSH

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LOGISTIC REGRESSION MODEL IN SUCCESS AND FAILURE OF WOMEN’S VOLLEYBALL

    3 Author(s):  ANSHUMAN SHUKLA, GOPAL KUMAR, TAPESH YADAV

Vol -  11, Issue- 7 ,         Page(s) : 238 - 247  (2020 ) DOI : https://doi.org/10.32804/IRJMSH

Abstract

The purpose of the study was to find out what skills or factors of the games played during the 2014 and 2018 FIVB Women’s World Championships can predict the winning or losing of the game. The study variables analyzed were the Attack, Block, Serve, Opponent Error, Reception, Dig, Set. The study sample consisted of 205 matches of the 2014 & 2018 FIVB Women’s World Championship and the data was taken from the official website of FIVB. The data was analyzed using Binary Logistic Regression (Forward: LR Method) with the result of the game as the dependent variable. The results of the study revealed that the variables found to be significant in predicting the winning and losing of a volleyball match at World championship level are Serve, Block, Set, and Opponent Error while the variables Dig, attack and Reception were statistically insignificant. Coaches and Players can use our model to identifying the lacunae of their team and according to that they work on the aspects which may increase the probability for winning the championship.

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