• Korean Security Journal
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• no.34
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• pp.313-336
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• 2013

The purpose of this study is to derive an optimal regression model for occurrences of major crimes on a security company's stock price through identifying precedence of the occurrences of major crimes on the security company's stock price, relationship between the occurrences of major crimes and the security company's stock price. Followings are the results of this study. First, the occurrences of murder crime, robbery crime, rape crime, theft crime move along the security company's monthly stock price simultaneously, and the occurrence of violence crime precedes 6 months to the security company's monthly stock price depending on the results of cross-correlation analysis of precedence of occurrences of major crimes, such as murder crime, robbery crime, rape crime, theft crime, violence crime on the security company's monthly stock price. Second, the explanation of the occurrences of robbery crime, rape crime, theft crime on the security company's monthly stock price is 61.7%($R^2$ = .617) excluding murder crime, violence crime depending on the results of multiple regression analysis(stepwise method) by putting the occurrences of major crimes, such as murder crime, robbery crime, rape crime, theft crime, violence crime into the security company's monthly stock price.

• The Korean Journal of Applied Statistics
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• v.25 no.1
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• pp.205-213
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• 2012

Transforming response variable is a general tool to adapt data to a linear regression model. However, it is well known that response transformations in linear regression are very sensitive to one or a few outliers. Many methods have been suggested to develop transformations that will not be influenced by potential outliers. Recently Cheng (2005) suggested to using a trimmed likelihood estimator based on the idea of the least trimmed squares estimator(LTS). However, the method requires presetting the number of outliers and needs many computations. A new method is proposed, that can solve the problems addressed and improve the robustness of the estimates. The method uses a stepwise procedure, suggested by Hadi and Simonoff (1993), to detect outliers that determine response transformations.

• Korean Journal of Adult Nursing
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• v.16 no.4
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• pp.668-676
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• 2004

Purpose: The purpose of this study was to investigate factors determining health behavior for middle-aged adults in relation to stress coping behaviors, cognitive factors, social support, and sociodemographic variables. Method: The questionnaire survey was carried out on a convenience sample of 203 middle aged in a community settings. The data analysis procedure included frequency, t-test, ANOVA, Pearson correlation coefficient, and stepwise multiple regressions using health behavior as dependent variable. Result: Among the sociodemographic variables, factors such as sex, educational and eonomic levels were associated with the health behaviors. There were significant correlations between health behaviors and saliency of health, social support, and positive-stress coping behaviors. Stepwise multiple regression revealed that the factors such as positive-stress coping behaviors, saliency of health, sex, and education turned out to be significant affecting factors. Twenty eight percent of varience in health behavior was explained by these factors. Conclusion: Positive-stress coping methods were turned out to be the most important effective factors in practicing of health behaviors of middle aged. The necessity of an intervention considering the situation related to their stress and coping methods in middle aged so as to promote positive health behaviors was suggested.

• Journal of Korean society of Dental Hygiene
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• v.16 no.4
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• pp.643-649
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• 2016

Objectives: The purpose of the study was to investigate the relationship between professor trust and learning flow in allied health students and to provide the basic data for the improvement of curriculum and teaching method. Methods: A self-reported questionnaire was filled out by 263 allied health students. The questionnaire consisted of 27 questions of professor trust by Likert 5 scale and 29 questions of learning flow by Likert 6 scale. Cronbach's alpha in this study was 0.97 in professor trust, 0.96 in learning flow. The data were analyzed using descriptive statistics, independent t-test, one-way ANOVA, correlation and stepwise multiple regressions. Results: The score was 3.72 in professor trust and 3.46 in learning flow. There were positive correlations between learning flow and professor trust including intimacy, professional, teaching skills and leadership. Stepwise multiple regression analysis revealed that learning flow was related with professor trust. Conclusions: The learning flow depends on professor trust. Based on the research, improvement directions that put strong emphasis on low section of professor trust and learning flow must be placed.

• Korean Journal of Exercise Nutrition
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• v.25 no.1
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• pp.23-29
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• 2021

[Purpose] This preliminary study aimed to develop a regression model to estimate the non-exercise activity thermogenesis (NEAT) of Korean adults using various easy-to-measure dependent variables. [Methods] NEAT was measured in 71 healthy adults (male n = 29; female n = 42). Statistical analysis was performed to develop a NEAT estimation regression model using the stepwise regression method. [Results] We confirmed that age^A, weight^B, heart rate (HR)_average^C, weight × HR_average^D, weight × HR_sum^E, systolic blood pressure (SBP) × HR_rest^F, fat mass ÷ height^2G, gender × HR_average^H, and gender × weight × HR_sum^I were important variables in various NEAT activity regression models. There was no significant difference between the measured NEAT values obtained using a metabolic gas analyzer and the predicted NEAT. [Conclusion] This preliminary study developed a regression model to estimate the NEAT in healthy Korean adults. The regression model was as follows: sitting = 1.431 - 0.013 × (A) + 0.00014 × (D) - 0.00005 × (F) + 0.006 × (H); leg jiggling = 1.102 - 0.011 × (A) + 0.013 × (B) + 0.005 × (H); standing = 1.713 - 0.013 × (A) + 0.0000017 × (I); 4.5 km/h walking = 0.864 + 0.035 × (B) + 0.0000041 × (E); 6.0 km/h walking = 4.029 - 0.024 × (C) + 0.00071 × (D); climbing up 1 stair = 1.308 - 0.016 × (A) + 0.00035 × (D) - 0.000085 × (F) - 0.098 × (G); and climbing up 2 stairs = 1.442 - 0.023 × (A) - 0.000093 × (F) - 0.121 × (G) + 0.0000624 × (E).

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.663-665
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• 2003

A field spectroradiometer SE-590 was used to measure the spectral reflectance of water body. The reflectance was calculated as the ratio of surface water radiance to the standard whiteboard radiance nearly measured at the same time. Water samples were taken simultaneously for determining their chlorophyll-a, suspended solid (SS) and transparency. The relationships between those water quality parameters and spectral reflectance were analy zed using stepwise multiple regression to derive optimal prediction models . The multiple regression was also applied to the SE-590 simulated SPOT bands. The SPOT image of the same day was also analyzed using the same method to compare the statistical results. It showed that the multiple regression models using the SE-590 reflectance data got the best water quality prediction results. The evaluated RMS error of chlorophyll-a, SS and transparency of water quality parameters were 0.57 ug/l, 0.2 mg/l and 0.17 m, respectively, and the RMS errors were 0.36 ug/l, 0.49 mg/l and 0.42 m for SPOT data, respectively. The SE-590 simulated SPOT three bands data obtained the worst results and the RMS errors were 1.77 ug/l, 0.49 mg/l and 0.37 m, respectively.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.2
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• pp.189-197
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• 2011

Purpose: This study was an analysis of the relationship between perception for appraisal of staff nurses in operating rooms and performance and organizational commitment. Method: The survey was conducted with 176 staff nurses in operating rooms in 2 hospitals in Seoul. Data were analyzed using frequency, one-way ANOVA, Pearson correlation analysis, and stepwise multiple regression. Result: 1. Perception for appraisal including accuracy and justice was significantly related to organizational commitment (r=.496, P=.000). Perception for appraisal including accuracy and justice was slightly related to performance (r=.220, P=.003). 2. In order to determine the percentage of the variance of performance and organizational commitment that could be predicted by perception for appraisal, perception for appraisal was entered in the regression equation. Accuracy accounted for 25% of the variance in the organizational commitment. To determine the percentage of the variance of performance that could be predicted by perception for appraisal and organizational commitment, the perception for appraisal and organizational commitment were entered in the regression equation. Organizational commitment accounted for 21% of the variance in the performance. Consequently accuracy predicted organizational commitment. Organizational commitment predicted performance. Conclusions: Findings indicate the need to increase accuracy of performance appraisal to promote organizational commitment and performance in perioperative nurses.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.107-117
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• 2016

This study examines information efficiency of financial information on the firm value for the listed manufacturing companies in Korea stock market in terms of timing pattern of information. We set 3 different test periods based on the financial statement released years - the current year, 90 days before financial statement announcement and the next year. We introduce using the stepwise regression method to examine the effect of financial variables on the stock returns. The financial variables include profitability ratio, growth ratio, stability ratio, activity ratio and market valuation ratio. The results of the study showed that both growth and profitability ratio affected the current year stock returns, while stability and activity ratio affected the next year stock returns. Growth rate of total asset affects both current year and next year stock returns. Our findings imply that the period in which financial information is reflected in the firm value, could vary with the characteristics of financial information.

• Child Health Nursing Research
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• v.11 no.2
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• pp.196-202
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• 2005

Purpose: The purpose of this study was to analyze the factors affecting Self Care Behavior in Korean high school students. Method: Data were collected from November 9 to December 28, 2003. The participants in this study were 293 students(134 boys, 159 girls), recruited from two High School located in Seoul. Data collection was conducted through the use of Questionnaire that was modified by the investigator. The data were analyzed with descriptive statistics, Pearson Correlation coefficients and stepwise multiple regression. The SPSS win 10.0 program was used. Results: The mean of total item score the Self Care Behaviors scales was 3.37, which was slightly low. There was a significant correlation between Self Care Behavior, Hope, Social Support, and Self Care Agency(γ= .30 ～ .65, p<.001). Stepwise multiple regression analysis showed that Self Care Agency was a predictor of Self Care Behavior and accounted for 28% of the variance. Self Care Agency account for 31% of the variance in Self Care Behavior in the high school girls. Self Care Agency and Hope accounted for 27% of the variance in Self Care Behavior in High school boys. Conclusion: Self Care Agency accounted for variance in Self Care Behavior in these high school students. Therefore it is necessary to develop nursing interventions to increase Self Care Agency in high school students in order to increase the Self Care Behavior.

• Research in Community and Public Health Nursing
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• v.15 no.3
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• pp.438-449
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• 2004

Purpose: The purpose of this study was to examine the levels of and relationships between physical health status, depression and health behaviors and the factors affecting health behavior in the elderly. Method : The subjects of this study were 118 elderly people aged over 60 living in urban and rural areas. The data were collected by interview through questionnaires from December 1. 2003 to January 30, 2004. The data were analyzed by descriptive statistics. t-test. ANOVA. Pearson correlation coefficient, and stepwise multiple regression. Results: The results of the study are as follows. 1. The mean score of the physical health status was 63.88 out of a total of 78 and the mean score of depression 42.71 out of 80. The mean score of health behaviors was 126 out of 165 and 3.83 point out of 5. In terms of sub-domains of health behaviors, emotional areas showed the highest mean score (3.98). 2. There was a significant positive correlation between health behaviors and the physical health status (r=.491, P<.001), while there was a significant negative correlation between depression and physical health status(r=.626, P<.001), and depression and health behavior(r=.784. P<.001). 3. Stepwise multiple regression analysis revealed that the most powerful predictor of health behaviors was psychological health. namely depression. A combination of depression. perceived health status and religion accounted for 65% of the variance in health behaviors of the elderly. Conclusion: From the results of the study, we recommend that the development of a nursing intervention program for the health behaviors including the factors affecting the elderly. It suggests the need to focus more on psychological and spiritual health and the development of nursing interventions for health promotion among older adults.