• International Journal of Advanced Culture Technology
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• v.10 no.3
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• pp.253-262
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• 2022

The purpose of this study is to investigate the influence of golf participants' major hitting factors on their consumption behavior characteristics and golf consumption behavior. To achieve this objective, the study subjects were set as the population aged 20 years or older who use golf courses and driving ranges in Gwangju Metropolitan City and Jeollanam-do, and then 158 males and 172 females using cluster random sampling. A total of 300 persons were selected as the study subjects. The survey tool was the questionnaire method, and among the tools that had already been used to verify the reliability and validity of the questionnaire in domestic and foreign previous studies, it was reused or modified or supplemented according to the variables of this study. The collected data were winter-processed according to the purpose of analysis using the SPSS statistical program as follows. The results obtained through this process are as follows. First, it was found that the major players participating in golf had partial differences in the characteristics of golf consumption behavior. Second, it was found that the major hitters participating in golf had a partial difference in their golf consumption behavior. Third, it was found that the golf consumption behavior characteristics of golf participants partially affected the golf consumption behavior.

• The Korean Journal of Applied Statistics
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• v.21 no.3
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• pp.441-453
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• 2008

We analyzed Korean professional basketball and baseball players salary under the assumption that it depends on the personal records and contribution to the team in the previous year. We extensively used data visualization tools to check the relationship among the variables, to find outliers and to do model diagnostics. We used multiple linear regression and regression tree to fit the model and used cross-validation to find an optimal model. We check the relationship between variables carefully and chose a set of variables for the stepwise regression instead of using all variables. We found that points per game, number of assists, number of free throw successes, career are important variables for the basketball players. For the baseball pitchers, career, number of strike-outs per 9 innings, ERA, number of homeruns are important variables. For the baseball hitters, career, number of hits, FA are important variables.