• Title/Summary/Keyword: Correlation regression analysis

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Operational Factors Affecting Productivity of Foodservice System in Selected Hospitals (병원급식이 생산성에 영향을 미치는 요인분석)

  • 양일선
    • Journal of Nutrition and Health
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    • v.26 no.3
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    • pp.357-366
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    • 1993
  • The purposes of this study were to investigate the operational affecting productivity in hospital foodservice, and to examine the relationships between operational factors affecting productivity. The 28 hospitals over 400 beds in Seoul were mailed questionnaires assessing the factors that affect productivity in hospital foodservice(23 hospitals responded). Data analyses included descriptive statistics. Pearson product moment correlation analysis, and stepwise multiple regression analysis. The result of Pearson product moment correlation analysis indicated that the percentage of patient meals was significantly correlated to the productivity (r=.5560, p<.01). Stepwise multiple regression analysis indicated that the percentage of patient meals and the average work hours of employees were significant predictors of the operational factors at productivity.

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A Study on the Outflow of Suspend Solids by the Rainfall Characteristics in the River of Mountainous district (산지하천의 강우특성에 의한 부유물질 유출에 관한 연구)

  • Yun, In-Guy;Park, Soo-Jin;Choi, Han-Kuy
    • Journal of Industrial Technology
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    • v.27 no.A
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    • pp.77-83
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    • 2007
  • In this research, we have selected the region of Jawoon river that is the area of high land vegetable growing in the upper Soyang Reservoir and we have observed actual floating materials that generate negative nutrition and turbidity of the Reservoir water and the changes of water quality by raining of each month for one year of 2005 in order to monitor the relationship of pollution sources by the outflow of rain water. In addition, we also have conducted statistical inspection methods such as correlation analysis and regression analysis on strength of raining force and rain continuance time among the elements affecting the outflow of floating materials.

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A Study on the Development of River Turbidity by the Rainfall Characteristics in the Watershed of Jawoon-cheon (자운천 유역의 강우특성에 의한 하천 탁도 발생에 관한 연구)

  • Kim, Jong-Uk;Park, Soo-Jin;Choi, Han-Kuy
    • Journal of Industrial Technology
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    • v.27 no.B
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    • pp.221-227
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    • 2007
  • This research investigates the turbidity and flow of river for an year, 2005, in order to examine the relation of the generation of turbidity according to the outflow of min water. For this research, the region of Jawoon river where is the area of high land vegetable growing in the upper Soyang Reservoir is selected to observe actual floating materials that generate negative nutrition and turbidity of the Reservoir water and the changes of water quality by raining of each month. In addition, the researcher has conducted statistical inspection methods, such as correlation analysis and regression analysis on strength of raining force, and rain continuance time among the elements affecting the outflow of floating materials.

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Analysis of the Correlation between Obesity and Individual Health issues and their impact on the National Economy (비만과 개인 건강문제가 미치는 국가 경제의 상관관계 분석)

  • Seong-Kyung Bae;Jai-Soon Baek;Sung-Jin Kim
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.157-160
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    • 2024
  • 비만은 단순히 개인의 게으름의 문제가 아니라 하나의 위험한 질병으로서 치료를 위해 전문가의 도움이 전적으로 필요로 한다. 개인만의 극복해야 하는 문제가 아니라 사회적 문제로 거론되어 국가 차원에서의 규제와 같은 적극적인 도움이 필요하다. 비만으로 생기는 경제적 손실 또한 무시할 수 없다. 의료비용, 생산성 감소, 사회 보건 문제, 질병 예방 비용 등이 있다. 이 연구는 전 연령층을 대상으로 하되, 아시아, 북아메리카, 남아메리카와 같이 대륙별로 근처 나라들의 2009년에서 2019년까지 10년의 비만 지수와 경제지표를 R을 활용한 회귀분석, 상관관계 분석, Pearson 회귀분석으로 비교하여 가치 있는 결과를 찾는 데 있다. 비만의 해결은 개인의 행복뿐만 아니라 국가의 경제 성장 그리고 회복에 큰 핵심적 요소가 된다는 걸 검증하는 연구이다.

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Relations among Work Hope, Career Attitude Maturity, and Career Decision-Making Self-Efficacy in Korean College Students (대학생의 직업희망과 진로태도성숙도 및 진로결정자기효능감의 관계)

  • Kim, Hyeon-Mi
    • Journal of Digital Convergence
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    • v.16 no.3
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    • pp.497-504
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    • 2018
  • The purpose of this study was to investigate the relationship between college students' work hope, career attitude maturity and career decision-making self-efficacy. For this, correlation analysis, variance analysis and multiple regression analysis were conducted using 299 data collected from 8 universities in the metropolitan area, Yeongnam, Honam, Gangwon and Chungcheong provinces. As a result of correlation analysis between work hope and career variables, there was a positive correlation between r=.64 and .73 in each sub-factor. After performing a variance analysis to explore the differences in work hope between gender, grades and major fields, there were no gender and grade differences found, but there were significant differences between major fields. Also, as a result of multiple regression analysis, it was found that work hope affecting career attitude maturity was pathways, and in career decision-making self-efficacy, agency, pathways thinking, and goal were influenced. On the analysis result, the limitations and implications of this study were discussed using college students' work hope scale.

Business model correlation analysis according to the technology maturity of the information security industry (정보보호 산업의 기술성숙도에 따른 비즈니스 모델 상관성 분석)

  • Lim, Heon-Wook
    • Convergence Security Journal
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    • v.19 no.4
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    • pp.165-171
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    • 2019
  • The domestic information security market is booming, For the development of the information security industry. I wanted to suggest a strategy for finding and developing a good business model. So the main products were classified by similar industries. And The sector was selected as the dependent variable. Expert interviews were conducted and classified according to technical maturity. Independent variables were sales, number of employees, and performance. Average analysis result, sales amounted to 8.798 billion won, 13.51 years in industry, and 64.3 employees. As a result of SPSS statistical analysis, the correlation between industry type and sales according to technical maturity (r = -.729) was within 5% of significance level. The regression results were significant. (p= .047<0.05) Therefore, industry classification and sales are related to technological maturity.

Statistical approach for development of objective evaluation method on tobacco smoke

  • Hwang, Keon-Joong;Rhee, Moon-Soo;Ra, Do-Young
    • Journal of the Korean Society of Tobacco Science
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    • v.22 no.2
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    • pp.184-189
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    • 2000
  • This study was conducted to develop the objective evaluation method for tobacco smoke. The evaluation was carried out by using the data of cut or blended tobacco components, smoke components, electric nose system (ENS), and sensory test. By using the statistical methods, such as cluster analysis, discriminant analysis, factor analysis, correlation analysis, and multiple regression analysis, the relationship among the data of tobacco, smoke, ENS, and sensory evaluation was studied. By the results of cluster analysis, the data from smoke analysis by GC and ENS were able to select the difference of tobacco leaf characteristics. As the results of discriminant analysis, grouping by the components of tobacco leaves and smoke was possible and the results of GC analysis of smoke could be used for discrimination of tobacco leaves. In the results of factor analysis, nicotine, tar, CO, puff No and pH in the smoke were the factors effecting on the tobacco leaf characteristics. From the correlation analysis, aroma, taste, irritation, and smoke volume of sensory test had high relation to tar, p-cresol threonolatone, levoglucosane, and quinic acid- ${\gamma}$ -lactone of smoke. The ENS data showed high efficiency for discriminant analysis and cluster analysis, but it was not good for factor analysis, and correlation analysis. It was possible to estimate tobacco leaves and their blending characteristics by the analytical data of tobacco leaves, smoke, ENS, and sensory test results. By the multiple regression analysis, some correlation among selected chemical components and sensory evaluation were found. This study strongly indicated that the some chemical analysis data was available for the objective evaluation of tobacco sensory attributes.

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Analysis of the relationship between regulation compliance and occupational injuries - Focusing on logistic and poisson regression analysis - (규제 순응도와 산업재해 발생 수준간의 관계 분석 - 로지스틱 회귀분석과 포아송 회귀분석을 중심으로 -)

  • Rhee, Kyung-Yong;Kim, Ki-Sik;Yoon, Young-Shik
    • Journal of the Korea Safety Management & Science
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    • v.15 no.2
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    • pp.9-20
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    • 2013
  • OSHA(Occupational Safety and Health Act) generally regulates employer's business principles in the workplace to maintain safety environment. This act has the fundamental purpose to protect employee's safety and health in the workplace by reducing industrial accidents. Authors tried to investigate the correlation between 'occupational injuries and illnesses' and level of regulation compliance using Survey on Current Status of Occupational Safety & Health data by the various statistical methods, such as generalized regression analysis, logistic regression analysis and poison regression analysis in order to compare the results of those methods. The results have shown that the significant affecting compliance factors were different among those statistical methods. This means that specific interpretation should be considered based on each statistical method. In the future, relevant statistical technique will be developed considering the distribution type of occupational injuries.

Analysis of factors affecting career preparation behavior - Based on the recognition of college students -

  • Lee, Sookja;Kweon, Seong-Ok
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.9
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    • pp.125-132
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    • 2017
  • The purpose of this study was to examine the factors influencing career preparation behavior based on the perception of college students from the perspective of social cognitive career theory and to examine the effect of career barriers and career decision self - efficacy on career preparation behavior And career - decision self - efficacy. The results of the study are as follows. First, career barriers perceived by college students showed a significant positive correlation with career decision self - efficacy and career preparation behavior(-), and career decision efficacy showed a statistically significant correlation with career preparation behavior(+). Second, as a result of linear regression analysis to examine the effect of career barriers on career preparation behavior, lack of self - clarification, lack of job information, and lack of recognition of need were subordinate factors of career barriers. Third, as a result of linear regression analysis to examine the effect of career decision - making self - efficacy on career preparation behavior, goal setting and job information, which are sub - factors of career decision self - efficacy, were analyzed. Fourth, mediating effects of career decision self - efficacy on career barriers and career preparation behavior were analyzed by hierarchical regression analysis. The results of this study confirm that the level of career barrier, which is an important factor in career preparation behavior of college students, should be lowered and career decision self - efficacy should be increased.