• Journal of Environmental Science International
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• v.11 no.12
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• pp.1275-1279
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• 2002

This study was performed to improve water demand estimation and analize correlation between generation of domestic sewage and domestic water use. To improve the prediction of water demand estimation, new water demand equation was developed. The results is as follows. $InQ_t = {\beta}_0+{\beta}_1InP_t+{\beta}_2InY_t+{\beta}_3InH_t+{varepsilon}_t$By using the statistical analysis of the "generation of domestic sewage" and "domestic water use", the regression equation between them is formed. The result is as follows. Generation of domestic sewage : 0.8487 $\times$ Domestic water use + 684.57 ($R^2$= 0.972)>$R^2$= 0.972)

• 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.

• Journal of East-West Nursing Research
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• v.19 no.1
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• pp.55-61
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• 2013

Purpose: This study was performed to provide basic data for nursing intervention plan to improve health related to task by examining whether nurses' burnout is related with job stress, job satisfaction, social support, and self efficacy in hospitals. Methods: The participants were 320 nurses who work at 5 different university hospitals with individual agreement for this study. The questionnaire were provided to the subjects. Data analysis was done by Pearson correlation coefficient and multiple regression were used. Results: Estimated regression model of burnout of nurses was statistically significant (F=119.88, p<.001). Major factors which affect burnout of nurses were job stress (${\beta}=.54$), job satisfaction (${\beta}=-.31$), and social support (${\beta}=-.20$) which explained 53.4% of burnout of nurse. As a result of examining the assumption of the regression, all results were satisfactory with the assumption of the regression equation. Conclusion: Based on the results of the study, It is nacessary to reduce job stress and increse job satisfaction and social support in order to reduce burnout of nurse. Job stress management may be needed mostly because job stress was the highest level of prediction against burnout.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.379-387
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• 2018

Caring is essential ability for nursing provider. The purpose of this study was to identify impact of self-reflection, ego state and transformational leadership on caring ability in nursing students. A convenience sample of 199 nursing students was obtained from a university in Gyeonggi Province. Data was analyzed using Pearson correlation and multiple regression. The result of multiple regression indicate that self-reflection(${\beta}=0.10$, p<.05), transformational leadership(${\beta}=0.13$, p<.05), NP(${\beta}=0.27$, p<.001), FC(${\beta}=0.22$, p<.001), CP(${\beta}=-0.24$, p<.001) and AC (${\beta}=-0.35$, p<.001) were the most consistent predictors of caring ability and explained 54.0%. These results are expected to be used as a basic data for the development of a convergence education program that can enhance self - reflection, positive aspect of ego state and transformational leadership in order to improve caring ability of nursing college students.

• Journal of the Korean Statistical Society
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• v.7 no.2
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• pp.101-104
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• 1978

This paper considers the problem of estimating $\hat{\beta}$ in the case errors occur in observing the values of q-variables $X_1, X_2, ..., X_q$. The approximated estimator $\hat{\beta}(e)$ is obtained and its expected value, bias and covariance matrix are studied.

• Journal of the Korean Statistical Society
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• v.8 no.2
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• pp.107-109
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• 1979

Consider a linear model with n observations and k explanatory variables: (1)b $y=X\beta+u, u\simN(0,\sigma^2I_n)$. We assume that the model satisfies the ideal conditions. Consider the general linear constraints on regression coefficient vector: (2) $R\beta=r$, where R and r are known matrices of orders $q\timesk$ and q\times1$ respectively, and the rank of R is $qk+q$.

• Journal of Life Science
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• v.8 no.5
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• pp.492-496
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• 1998

Intact measurement of leaf water content was attempted using the transmission of beta radiation. Prior to the experiments, two tested plants, rice and soybean, were grown in 1/5000a wagner pot. The moisure ratio of plant leaves were measured with the beta radiation transmission method using a G-M detector and $^{99}$ Tc as the beta ray sou-rce. Beta radiation transmission showed a tendancy to increase with the passage of time after leaf cutting. However, it showed a tendancy to decrease with water supply for the lack of water. A positive correlation was found between the leaf water content and beta radiation transmission. The mutiple regression analysis about leaf water content was obtained that the coefficient of partial regression for beta radiation transmission was much higher(rice; -0.863, soybean; -0.904) than that for specific leaf area(rice; 0.007, soybean: 0.004).

• Journal of Digital Convergence
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• v.10 no.1
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• pp.385-389
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• 2012

This study was performed to determine the effect of patients with colon polypectomy on health behavior practices. Data were surveyed using interview and questionnaires by 112 patients with colon polypectomy in a general hospital who were located in Seoul from December 6, 2010 to January 31, 2011. Data were evaluated with t-test, ANOVA, Pearson correlation coefficient, and Stepwise multiple regression. The results were as follows: First, the higher control of life habit was, the more positive attitude(r=.350, p<.01) and the less inconvenience was significant correlation(r=-.263, p<.05). Secondly, in the stepwise multiple regression analysis, the most important factors influencing health behavior practices were control of life habit(${\beta}$=.392, p=.000), and then inconvenience of life(${\beta}$=-.265, p=.007), weight gain(${\beta}$=-.248, p=.024). In conclusion, positive attitude and control of life habit are necessary to improve the health behavior of patient with colon polypectomy.

• Journal of the Korea Convergence Society
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• v.9 no.3
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• pp.91-99
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• 2018

The purpose of this study was to investigate the stress, clinical practice, coping with the stress, and the degree of psychological well-being of nursing student. A descriptive research study was conducted to confirm successful university life of nursing college students and how to continue their nursing life. The data were collected from questionnaires filled out by 242 nursing students who experienced clinical practice. Data collection was performed from October to November, 2015. The collected data were analyzed by SPSS 21.0 program using ANOVA, t-test, pearson correlation coeffient and multiple regression analysis. As a result of the research, it was found that the psychological well-being increased as the problem faced, the problem was solved directly, and the less stress was applied. Results of the regression analysis showed problem solving coping(${\beta}=.446$), avoidance coping (${\beta}=-.301$), and stress(${\beta}=-.281$), it were explained 51.0%. Therefore, nursing college students should be able to cultivate psychological well-being through a strategy of managing stress to actively ask for solutions to problems through self or social support system.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.200-208
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• 2017

The purpose of this study was to examine the relationship of the severity, depression and to identify factors influencing quality of sleep in Restless Legs Syndrome(RLS) patients. A total of 303 consecutive RLS patients were assessed by self questionnaires and participant's medical records were reviewed for obtaining their clinical information. The collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation, and multiple regression. The quality of sleep was positively correlated with symptoms(r=. 21, p<.001) and depression(r=. 37, p<.001). The results of multiple regression analysis showed that significant variables influencing the quality of sleep were depression(${\beta}=.35$, p<.001), age(${\beta}=.21$, p<.001), and severity(${\beta}=.15$, p=.005). The explanation power of this regression model was 21.0% and it was statistically significant. As a result, to improve their sleep quality, the nursing interventions are required for RLS patients who have the depression, age, and severity.