부산대학교 도서관

Regression analysis is one of the most popular ways to explore the performance related factors of professional sports. Regression analysis is a method that has many problems in terms of statistics, such as the need for an independent assumption about the described variables, in carrying out model predictions, etc. Therefore, when applying regression analysis in practice, alternatives to overcome these problems are needed, and the study used the Shapley value regression suggestion. To this end, data from the Korean Basketball League from 2016 to 2017 is used to identify the relative importance using Shapley value regression. As a result, offense-related variables such as ‘assists’ or ‘three-point field goal percentage’ and a defense-related variable including ‘GD’ were found to be relatively important, which were not statistically significant when using regression analysis. This study is meaningful in that it explores variables affecting the performance of professional basketball through a different approach from the existing regression analysis. It can also help researchers who perform quantitative research related to professional sports in the future to derive and interpret more accurate results.