• 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.

• Journal of Korean Public Health Nursing
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• v.15 no.1
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• pp.13-26
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• 2001

Today's health care environment is rapidly changing and nurse administrators' transformational leadership needs to practice in nursing organization to achieve organizational objectives. Transformational leadership is related to the job satisfaction, productivity, and organizational commitment. This study investigated the effect of transformational leadership and carreer characterics on nurses' organizational commitment. The sample for this study consisted of 594 nurse from 8 large Korean hospitals. The factor analysis Cronbach's alpha analysis, Pearson correlation analysis, multiple regression analysis and hierarchical multiple regression analysis were used for the statistical method. The results of this study were found that (1) charisma dimension of transformational leadership has positive influence on nurses' organizational commitment; but another two dimensions (intellectual stimulation and individualized consideration) did not showed significant effect on organizational commitment (2) nurses' career characteristic(age, marital status, education level. work duration, status) moderated the effect of transformational leadership on organizational commitment.

• Journal of Korean Academy of Nursing
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• v.31 no.4
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• pp.598-609
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• 2001

Purpose: This study investigated the effect of transformational leadership and individual characteristics on nurses' job involvement. Method: The sample for this study consisted of 594 nurses from 8 large Korean hospitals. The factor analysis was drawn from the Cronbach's alpha analysis, the Pearson correlation analysis, the multiple regression analysis, and the hierarchical multiple regression analysis. Result: This study found that; (1) charisma dimension of transformational leadership has positive influence on job involvement; but intellectual stimulation and individualized consideration did not showed significant effects on job involvement (2) nurse individual characteristics (age, marital status, educational level, tenure, position) moderated the effect of transformational leadership on job involvement. Conclusion : Therefore, to improve job involvement nurses are required to apply the charisma dimension of transformational leadership in hospital organization.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.473-478
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• 2006

Empirical analysis was based on the data of 692 hotel employees from Seoul and Gyung-gi province. To test the relationship between job characteristics and service quality, multiple regression analysis was applied, and hierarchial regression analysis(Cohen & Cohen, 1983) applied to test the moderating effects of gender and tenure. Multiple regressional analysis showed that job importance, job variety, and feedback had an positive impact on tangibility, reliability, responsiveness, assurance, empathy, but autonomy had a negative impact on tangibility, reliability, responsiveness, assurance. Hierarchical regressional analysis showed that gender had moderating effects on 4 relationships between job characteristics and service quality, and tenure had moderating effects on 3 relationships.

• Journal of Wellness
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• v.6 no.2
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• pp.139-147
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• 2011

The purpose of this study was to examine the relationship between stress and leisure satisfaction of college student athletes. The participants comprised 140 of the college student athletes. The measures were composed of stress inventory and leisure satisfaction scale. The data were analyzed by SPSS 17.0 Version frequency analysis, reliability analysis, confirmatory factor analysis, independent sample t-test, one-way ANOVA, and multiple regression analysis were performed. The level of significance was set up .05. The results were as follows: First, according to college, there was significant difference in economic burden, environmental condition, and course factor. Second, in regard with multiple regression analysis on relationships between the stress and leisure satisfaction of the college student athletes, discriminative evaluation, environmental condition, and course factor had positive effect on leisure satisfaction.

• Journal of Preventive Medicine and Public Health
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• v.24 no.1 s.33
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• pp.29-36
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• 1991

A multiple regression analysis using ordinary least square (OLS) is frequently used for the projection of health expenditure as well as for the identification of factors affecting health care costs. Data for the analysis often have mixed characteristics of time series and cross section. Parameters as a result of OLS estimation, in this case, are no longer the best linear unbiased estimators (BLUE) because the data do not satisfy basic assumptions of regression analysis. The study theoretically examined statistical problems induced when OLS estimation was applied with the time series cross section data. Then both the OLS regression and time series cross section regression (TSCS regression) were applied to the same empirical da. Finally, the difference in parameters between the two estimations were explained through residual analysis.

• Journal of Korean Academy of Nursing
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• v.33 no.5
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• pp.609-617
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• 2003

Purpose: The purpose of this study is to understand the depression of patients for Fibromyalgia Syndrome(FMS) and to identify the factors influencing depression. Method: The instruments used here are Beck Depression Inventory in depression, the Korean Rheumatology Health Association' instruments in Self-Efficacy. Also, Pain and Fatigue was measured by Visual Graphic Rating Scale. The subject of study is 76 outpatients diagnosing FMS from rheumatism specialists at C hospital in D city. The data has been collected from Sep. 1st to Sep. 30th in 2001. For the analysis of collected data, frequency analysis, independent t-test, analysis of variance, Pearson's correlation and multiple regression analysis were used for statistical analysis with SAS statistical program. Result: General characteristics showing statistically significant difference in depression were age, education, occupation, gender, exercise and sleep in the patients with FMS. Depression for the patients with FMS has negative correlation coefficients with Self-efficacy and ADL, and positive correlation coefficients with Pain and Fatigue. The suitable regression form resulting from the multiple regression analysis to investigate the influencing factors of depression for the partients with FMS was expressed by y =50.067 - 0.278x$_1$ + 1.320x$_2$ (x$_1$: Self-Efficacy x$_2$: Fatigue) and $R^2$ =0.427. Conclusion: The factors influencing on depression of patients for FMS was Self-Efficacy, ADL, Pain, and Fatigue. Further study needs to be done identify methods of overcoming and presentation of depression in FMS.

• Asia-Pacific Journal of Business
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• v.12 no.1
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• pp.87-100
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• 2021

Purpose - This study aims to examine the antecedents of willingness to pay in the domain of duty free shop. Design/methodology/approach - This study chooses willingness to pay as explained variable. The candidates of explanatory variables are price fairness, brand awareness, employee service, product diversity, and crowding. This study uses survey to explore the linear relation between variables. This research collected data using online panel data collection service. The number of valid observation is 265. The research targe is Lotte duty free store. Statistical analysis was for statistical inference. To attain the information of survey respondents, frequency analysis is employed. Next, this study implemented exploratory factor analysis and reliability to ensure both validity and reliability of measurement items. This study executed multiple regression analysis to test research hypotheses Findings - Regrading results, brand awareness, employee service, and product diversity are positively associated with willingness to pay of duty free shop product. Moreover, the results of regression analysis suggest the inverted-U shape association between crowding and willingness to pay. However, price fairness appeared as non-significant variable to account for willingness to pay in the multiple regression analysis. Originality - This study contributes to the literature by examining duty free shop customers more.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.755-768
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• 2017

As Big Data becomes the core of the fourth industrial revolution, big data-based processing and analysis capabilities are expected to influence the company's future competitiveness. Comparative studies of RHadoop and RHIPE that integrate R and Hadoop environment, have not been discussed by many researchers although RHadoop and RHIPE have been discussed separately. In this paper, we constructed big data platforms such as RHadoop and RHIPE applicable to large scale data and implemented the machine learning algorithms such as multiple regression and logistic regression based on MapReduce framework. We conducted a study on performance and scalability with those implementations for various sample sizes of actual data and simulated data. The experiments demonstrated that our RHadoop and RHIPE can scale well and efficiently process large data sets on commodity hardware. We showed RHIPE is faster than RHadoop in almost all the data generally.

• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.2
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• pp.358-365
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• 2001

The purpose of this study was to investigate the relation between various aspects of multiple body image and clothing behavior i.e. individuality/self expression, body improvement, social approval, sex appeal. The data were collected from 498 female university students in Seoul and Kyong Ki Province and analyzed using factor analysis, Pearsons correlations, reliability test, analysis of variance, and multiple regression analysis. The results of this study were as follows: 1) Four dimensions of multiple body image were identified : appearance, body attractiveness, degree of fitness and atheletic skill. 2) Perception on appearance and fitness aspect of multiple body image has a positive correlation with all aspects of clothing behavior i.e. individuality/self expression, body improvement, social approval and sex appeal of clothing behavior. Body attractiveness and atheletic skill of multiple body image also had a positive correlation with individuality/self expression, and sex appeal.