• Journal of Environmental Impact Assessment
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• v.23 no.3
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• pp.187-196
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• 2014

The objective of this study is to evaluate and analyze Osu stream watershed water environment system. The data were collected from January 2009 to December 2011 including water temperature, pH, DO, EC, BOD, COD, TOC, SS, T-N, T-P and discharge. The data were used for principle component analysis and factor analysis. The results are as followes. The primary factors obtained from both the principal component analysis and the factor analysis were BOD, COD, TOC, SS and T-P. Once principal component analysis and factor analysis have been performed with the collected data and then the results will be applied to both simple regression model and multiple regression model. The regression model was developed into case 1 using concentrations of water quality parameters and case 2 using delivery loads. The value of the coefficient of determination on case 1 fell between 0.629 and 0.866; this was lower than case 2 value which fell between 0.946 and 0.998. Therefore, case 2 model would be a reliable choice.The coefficient of determination between the estimated figure using data which was developed to the regression model in 2012 and the actual measurement value was over 0.6, overall. It can be safely deduced that the correlation value between the two findings was high. The same model can be applied to get TOC concentrations in future.

• Journal of Fashion Business
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• v.10 no.2
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• pp.181-193
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• 2006

The purpose of this study was to examine which factors among addiction buying behavior had been affected by body image. 235 female college students were surveyed for this study. For data analysis, descriptive statistics, $x^2$-test, multiple regression were used. As the results, generally there were significantly correlated among body image, diet addiction, binge eating, cosmetic surgery addiction, compulsive behavior and shoplift tendencies. Multiple regression results revealed that diet addiction, cosmetic surgery addiction, binge eating accounted for 34.8% of the explained variance in weight obsession. Also, regression results indicated that cosmetic surgery addiction, self-esteem, and diet addiction, and cosmetic surgery obession accounted for 20.4% of the explained variance in appearance orientation. Finally, regression results pointed out that self-esteem and diet obession accounted 22.3% of the explained variance in appearance evaluation. Based on these results, fashion marketing strategies would be suggested.

• Health Policy and Management
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• v.30 no.3
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• pp.376-385
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• 2020

Background: The purpose of this study is to investigate the factors affecting the healthy living practice rate such as non-smoking, moderate drinking, walking, and low-salt diet by elementary municipality (so called, 'si-gun-hu'). Methods: The 2016 Korean Community Health Survey was used for the analysis. The theoretical model is founded upon the Anderson model, and both the multiple linear regression analysis and the beta regression analysis was performed for estimation. Results: As a result of the beta regression analysis, healthy living practice rate was found to be significantly higher in the areas with a less number of cigarette retailers, participating in healthy city projects, a low proportion of people who perceive their body type as obesity, a higher proportion of women, and a lower proportion of spouses. Conclusion: In order to improve healthy living practices, the regulations on health risk businesses, the spread of Healthy City project, and policy efforts awaring obesity are recommended.

• Magazine of the Korean Society of Agricultural Engineers
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• v.26 no.2
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• pp.106-124
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• 1984

Monthly streanflow of watersheds is one of the most important elements for the planning, design, and management of water resources development projects, e.g., determination of storage requirement of reservoirs and control of release-water in lowflow rivers. Modeling of longterm runoff is theoretically based on water-balance analysis for a certain time interval. The effect of the casual factors of rainfall, evaporation, and soil-moisture storage on streamflow might be explained by multiple regression analysis. Using the basic concepts of water-balance and regression analysis, it was possible to develop a generalized model called the Regionalized Regression Model for Monthly Streamflow in Korean Watersheds. Based on model verification, it is felt that the model can be reliably applied to any proposed station in Korean watersheds to estimate monthly streamflow for the planning, design, and management of water resources development projects, especially those involving irrigation. Modeling processes and properties are summarized as follows; 1. From a simplified equation of water-balance on a watershed a regression model for monthly streamflow using the variables of rainfall, pan evaporation, and previous-month streamflow was formulated. 2. The hydrologic response of a watershed was represented lumpedly, qualitatively, and deductively using the regression coefficients of the water-balance regression model. 3. Regionalization was carried out to classify 33 watersheds on the basis of similarity through cluster analysis and resulted in 4 regional groups. 4. Prediction equations for the regional coefficients were derived from the stepwise regression analysis of watershed characteristics. It was also possible to explain geographic influences on streamflow through those prediction equations. 5. A model requiring the simple input of the data for rainfall, pan evaporation, and geographic factors was developed to estimate monthly streamflow at ungaged stations. The results of evaluating the performance of the model generally satisfactory.

• Journal of Korean Society of Transportation
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• v.27 no.1
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• pp.107-114
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• 2009

Human walking is essential and important mean of transportation. Pedestrian safety is recently important because accidents often happen while walking. This research is showing that Walking-environmental factors have effect on safety while walking. At first, exact 15 factors and conduct survey in the preceding research. After that, exact 4 important factors through factor analysis. At result of Multiple regression analysis, null hypothesis has proved to be true by satisfying therms which is F-value 9.211 and P-value 0.000. and come to the conclusion that walking-environmental factors influence pedestrian safety. 4 important factors can be listed by below. Pedestrian-road characteristic, landscape characteristic, commercial characteristic, walking characteristics by following influence. Especially, landscape characteristic and pedestrian-road characteristic can be vital factors.

• Journal of Korean Medicine Rehabilitation
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• v.24 no.4
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• pp.155-162
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• 2014

Objectives Advanced researches on the relationship between obesity and heart rate variability (HRV), heretofore, focused on characteristics of HRV depending on the state of obesity. However, the previous researches have not quantified predictive power of HRV toward the obesity-related variables, which is rather more meaningful for clinicians who regularly treat obese patients. Hence, we designed a research to investigate whether HRV could predict serum levels of obesity-related metabolites. Methods Ninety obese premenopausal women meeting the inclusion criteria were recruited. The HRV test, blood sampling, and measurement of physical traits were conducted. Multiple regression analysis of the measurement data was carried out, putting obesity-related metabolites (insulin, glucose, triglyceride, hs-CRP, HDL, LDL, total cholesterol) as outcome variables and the others as predictors. To select appropriate predictive variables, the Akaike's Information Criterion (AIC) was applied. Normality and homoskedasticity of residuals for each model were tested to identify if there were any violations of the regression analysis's basic assumption. Logarithm transformation was used for the values of the concentration of metabolites and the HRV. Results The regression model including Total Power (TP) value and BMI had significant predictive power for serum insulin concentration (F(2, 88)=835.7, p<0.001, $R^2=0.95$). The regression coefficient of ln (TP) was -0.1002. However, it was not sure if the HRV could predict concentrations of other metabolites. Conclusions The results suggest that the Total Power (TP) value of the HRV can predict the level of serum insulin. If the BMI could be assumed as being constant, when the TP value is multiplied by n, the predicted change of insulin could be drawn by multiplying $n^{-0.1002}$. The uncertainty of this model can be assumed as approximately 5%.

• The Journal of Industrial Distribution & Business
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• v.10 no.7
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• pp.29-37
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• 2019

Purpose - The purpose of this paper is to find out a range of cues that trigger employees to willingly make efforts for corporate development in small and medium enterprises. This was determined by assessing the effects of employees' value inclination on their job satisfaction and organizational citizenship behavior as well as how they perceived their organizational support. Research design, data, and methodology - A total of 126 valid questionnaire sheets collected from SME employees were analyzed with SPSS 24.0 and AMOS 24.0 involving simple regression analysis, multiple regression analysis, hierarchical moderated regression analysis and 3-step mediated regression analysis. Results - The analyses highlighted employees' personal value inclination had positive effects on their job satisfaction, which in turn enhanced their organizational citizenship behavior. Meanwhile, individualist and collectivist inclination exerted greater effects on job satisfaction and organizational citizenship behavior, respectively. The study also revealed that perceived organizational support moderated the relationship between job satisfaction and organizational citizenship behavior. Conclusion - Hence, CEOs in SMEs should avert any dichotomous analysis of their employees' value inclination, respect their personal value inclinations and also apply factors that could raise their job satisfaction. Likewise, it was shown that SME employees need to make personal efforts for organizational development.

• The Research Journal of the Costume Culture
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• v.8 no.2
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• pp.293-304
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• 2000

The purpose of this study was to analyze the relationship between materialism and conspicuous consumption, and information sources. Data were administered to 357 women living in Sunchon from June to July 1999. For analysis of the data, factor analysis, t-test, one-way ANOVA, duncan's multiple range test, and multiple regression analysis were employed. The results of this study were summarized as follows. 1) Materialism was shown to have the significant differences according to age, marriage, education, occupation, social stratification groups. The higher the education, occupational status, social stratification groups and the lower the age is, or unmarried, the higher is materialism. The use of information sources were shown to have the significant differences according to age, marriage, education, occupation, income, social stratification groups. The higher the education, income, social stratification groups. The higher the education, income, occupational status, social stratification groups and the lower the age is, or unmarried, the higher is use of information. 2) Materialism was shown to have the significant differences according to the groups of conspicuous consumption. The higher conspicuous consumption is, the higher is materialism. The use of information were shown to have the significant differences according to groups of conspicuous consumption. The higher conspicuous consumption is, the higher is use of information. 3) The use of information were shown to have the significant differences according to materialism. The higher materialism is, the higher is use of information. 4) According to the results of the regression analysis examining the relative influences of variables affecting information, the relative importance of the variables are in order of ; happiness-pursuable materialism, conspicuous consumption and their explanatory power totalled 18.6%.

• Environmental Sciences Bulletin of The Korean Environmental Sciences Society
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• v.4 no.1
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• pp.1-9
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• 2000

This paper describes an analysis of various factors affecting traffic noise propagation, including the distance from the road, existence of a direct path of noise propagation, density and height of buildings, and procedure for predicting the attenuation of noise levels from roads. The analysis is based on a multiple number of regression models, utilizing the quantification theory of the first kind. This study incorporates a large amount of survey data concerning traffic noise propagation. The survey of the traffic noise propagation around main roads was carried out in several residential areas, mainly in Kwangju. The attenuation of noise levels measured provided 691 usable data samples. A multiple regression analysis demonstrated that the distance from the road makes the most significant contribution to the attenuation of the noise level. The second contributor was found to be the existence of a direct path of noise propagation. The building density and average height of the buildings also affected the attenuation of the noise level considerably. Other factors, such as the height of the building behind the receiver microphone and the number of traffic lanes on the noise-source roads, did not contribute as much to the attenuation of the noise level as the factors mentioned avove.

• Journal of Families and Better Life
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• v.8 no.2
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• pp.101-118
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• 1990

The purpose of this study is to examine the stress level and factors percepted by the married women during family life, and to identify the related variables influencing on stress level. For this purpose, questionnaires were distributed to the 650 married women who have been living in seoul. Among them 463 data were selected. For data analysis, the statistical method such as the factor analysis frequency distribution percentile , t-test, ANOVA, Duncan's Multiple Range Test and Stepwise Regression Analysis were used. the major findings were summarized as follows; 1) The general tendancy of the stress level percepted by the married women during family life was relatively low. 2) The household background variables(age, level of education, income, type of family, number of children, status of employment ) have turned out to be significant on the stress level of married women except family type. 3) All the social-psychological variables(socio-economic status, communication interaction, resources perception, psychological satisfaction) showed significant differences according to the stress level percepted by the married women during family life. 4) The level of work identity was the important factor on the stress level percepted by the married women during family life. 5) In Stepwise Multiple Regression Analysis, the married women's stress level during family life was greatly influenced by variables such as the resource perception and the psychological satisfaction.