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Exploring the relative importance of performance factors of KOVO V-league
Journal of the Korean Data & Information Science Society 2019;30:771-8
Published online July 31, 2019;
© 2019 Korean Data and Information Science Society.

Kyoungho Choi1

1Research Institute of Health Statistics, Jeonju University
Correspondence to: Professor, Research Institute of Health Statistics, Jeonju University, Jeonju 55069, Korea. E-mail:
Received June 20, 2019; Revised July 15, 2019; Accepted July 19, 2019.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Sports science is an interdisciplinary area that various methodologies are applied to study. In spite of that, most of the studies make conclusions based on quantitative data collected through mere physical activities. To overcome limitations from that, recent studies are conducted empirically using many different analysis methods. Regression analysis is one of them. A few assumptions are prerequisite to use the regression analysis, unless, it may cause errors in predicting dependent variable or making interpretation. In this context, the current research compared data of men’s game in KOVO V-league which is one of the two major mountains in domestic winter pro-sports game, with prior literatures and confirmed problems caused by incorrect regression analysis. Decomposition of a determination coefficient to deduct a relative importance was suggested as an alternative. Moreover, the relative importance was demonstrated to be a more valid variable to analyze data. This research makes contribution in helping researchers in sports science to make more proper and meaningful conclusions from the data.
Keywords : Determination coefficient performance, regression analysis, relative importance, V-league.