• Communications for Statistical Applications and Methods
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• 제17권6호
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• pp.917-925
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• 2010

일반적으로 정준상관 행렬도(canonical correlation biplot)는 정준상관분석에서 두 변수집단에 의해서 측정된 다변량 자료에서 변수 집단 간의 관계와 개체들의 관계를 탐색하기 위한 2차원 그림이다. 최근에 이를 활용하여 최태훈과 최용석 (2008)은 2006년도 한국여자골프협회(KLPGA) 선수에 대한 기술요인 변수군과 경기성적요인 변수군간의 관련성을 살펴보았고 최태훈 등 (2009)은 테니스 그랜드 슬램대회 선수특성요인과 경기요인에 대한 분석을 하였다. 더군다나 세 변수군 이상의 정준상관분석을 일반화 정준상관분석(generalized canonical correlation analysis)이라 하며 이와 관련하여 허명회 (1999, 6장)는 수량화 플롯을 제안하고있다. 이를 행렬도의 의미에서 일반화 정준상관 행렬도(generalized canonical correlation biplot)라하자. 본 연구에서는 대한 테니스협회(KTA)에 등록된 남자선수들 중 상위50명의 체격요인, 체력요인 및 기초기술요인에 대한 분석을 일반화 정준상관 행렬도를 적용하여 살펴보고 프로크러스티즈 분석을 통하여 전체선수, 상위랭킹과 하위랭킹 선수간의 행렬도 형상비교를 시도 하였다.

• 웰빙융합연구
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• 제4권1호
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• pp.11-18
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• 2021

Purpose: This study aims to explore the correlation between job and hypertension. Hypertension is a major risk factor such as stroke, myocardial infarction, heart failure, and vascular aneurysms. Research design, data and methodology: The data from this study are the 2017 National Health and Nutrition Examination Survey classified into office workers and non-office workers. Frequency analysis was used for general characteristics analysis, and ANOVA test analysis was used for correlation between subjects' basic variables and blood pressure. The post analysis as turey was used to verify the validity of the statistical results. All statistical analyzes were performed using the IBM SPSS 24.0 program. Results: There was a difference in the prevalence of hypertension among office workers and non-office workers.

• 한국농공학회논문집
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• 제52권5호
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• pp.27-35
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• 2010

The characteristics of delivered nutrient loads were analyzed and the regression equations to estimate delivery ratios of nutrients (TN and TP) were developed using HSPF simulation results at six subwatersheds within the Bochung A unit watershed during 1998-2007. TN delivery ratio was higher than TP delivery ratio because significant amounts of TP was considered to be attached at soil as ${PO_4}^-$ during delivery process from discharged point of nutrient source to main stream. As a results of correlation analysis, factors related to geomorphic characteristics had not statistical correlation with TN and TP delivery ratios. TN loading rate from living and specific stream flow had statistical negative and positive correlation, respectively, with TN delivery ratio. TP loading rates from all sources and from land cover and specific stream flow had statistical negative, negative and positive correlation, respectively. The specific stream flow represents the most strong correlation with nutrient delivery ratios. The regression equations to estimate delivery ratios for TN and TP were developed by including statistical correlated factors and showed high efficiency of 0.98 and 0.95 of coefficient of determination for TN and TP, respectively.

• 한국대기환경학회지
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• 제2권1호
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• pp.41-54
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• 1986

Methods used for averaging PH's of rainwater and site representation have been studied, Statistical analysis was attempted regarding effects of ionic components on PH's utilizing 847 data altogether obtained in two years, 1984 and 1985. The outcome of the study may be assumarized as follows: 1. Methods for Averaging PH Volume weighted method is considered to be acceptable providing that precipitation is measured at the same time when the samples are taken. Without precipitation data a simple averaging method should be the next choice. 2. Site Representation A statistical method used for optimizing a monitoring newtork was applied using the data collected. Because of a limited number of data, no discernible conclusion can be reached suggesting that the method can serve as a good guide when the data base becomes more reliable. 3. A good correlation appears to exist betwen conductivities and ionic components in rainwater. It would, therefore, be possible to certain extend to estimate ionic concentrations from conductivity measurements by correlation equations. 4. The acidity of rainwater is effected by $SO_4^{2-}, NO_3^-, Cl^- and NH_4^+ with SO_4^{2-}$ being the most significant as demonstrated by standardized regression analysis.

• 동의신경정신과학회지
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• 제30권3호
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• pp.153-164
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• 2019

Objectives: The purpose of this study was to examine the correlation between CSEI (The Core Seven-Emotions Inventory) and MMPI-2 (Minnesota Multiphasic Personality Inventory-2). Methods: We analyzed the correlation between students' demographic characteristics, blood type, MMPI-2, and CSEI using the SPSS (Statistical Package for the Social Science) 24.0. Descriptive Statistical Analysis, independent t-test, analysis of variance (ANOVA), subsequent analysis duncan (post hoc multiple comparison), and correlation analysis were conducted. Results: 1. According to the demographic characteristics of 91 participants in this study: 60 males (65.9%), 88 unmarried (96.7%), 58 without religion (63.7%), 54 who have experienced stress in the last three months (59.4%), and 82 in their 20s (90.1%) comprised the majority. 2. As a result of verifying correlation by subfactors of CSEI, Hui (喜) showed statistically significant negative correlation with U (憂), Bi (悲), and Gong (恐). Six emotions except Hui (喜) showed statistically significant positive correlation, except for the relationship between U (憂) and Kyeong (驚). 3. Hui (喜) of CSEI had negative correlation with eight factors of MMPI-2 Clinical Scales except Pa (Paranoia) and Ma (Hypomania), whereas Bi (悲) had positive correlation with nine factors of MMPI-2 clinical scales except Mf (Masculinity-Femininity). Sa (思), Bi (悲), and Gong (恐) had similar tendency of positive correlation with six factors of MMPI-2 Restructured Clinical Scales. Conclusions: Based on the above results, we concluded that CSEI's sub factors had consistent correlations with MMPI-2. Thus, CSEI could contribute to psychiatry clinical use.

• 한국식품과학회지
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• 제51권3호
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• pp.227-236
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• 2019

Antioxidant activity in water and ethanol extracts of dried Lycium chinense fruit, as a result of the total phenolic and tannin content, was measured using a number of chemical and biochemical assays for radical scavenging and inhibition of lipid peroxidation, with the analysis being extended by applying a bootstrapping statistical method. Previous statistical analyses mostly provided linear correlation and regression analyses between antioxidant activity and increasing concentrations of phenolics and tannins in a concentration-dependent mode. The present study showed that multiple component or multivariate analysis by applying multiple regression analysis or regression planes proved more informative than linear regression analysis of the relationship between the concentration of individual components and antioxidant activity. In this paper, we represented the multivariate analysis of antioxidant activities of both phenolic and tannin contents combined in the water and ethanol extracts, which revealed the hidden observations that were not evident from linear statistical analysis.

• 상하수도학회지
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• 제31권1호
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• pp.83-91
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• 2017

This study analyzed the correlation between Chl-a and water quality factors using characteristics of climate data, water quality factors, and various statistical analysis techniques during the summer season in the Nakdong River during the 2-year period. The purpose of this study is to provide the basic data for establishing water quality management policy in the Changnyeong-Haman weir section. From the end of July to the middle of August when algae mainly occur, both the years 2015 and 2016 are in the temperature range of $25{\sim}30^{\circ}C$, and the total precipitation of 2015 is less than that of 2016 in this period. As a result of comparing the concentration of Chl-a, the average Chl-a concentration of 2015 was higher than that of 2016, which seems to be related to the total precipitation in the occurrence of algae. The results of the correlation analysis showed that the correlation with PO4-P was significant at most points. As a result of the factor analysis, the first principal factor group classified PO4-P, NH3-N, TP, pH, flow rate, TN and this section seems to be influenced by phosphorus and nitrogen and flow rate.

• 농촌계획
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• 제13권2호
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• pp.85-92
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• 2007

This study aims to show how the urbanization of Korea has progressed for the last three decades, what its characteristics are, and how rural land use has changed by the national and district(cities and counties) level. The land use changes accompanying to the urbanization is analyzed through 3 indicators such as urbanization rate, the rate of cultivated and forest land and the rate of urbanized area. The statistical data are 30 years from 1976 to 2005 for time series analysis by the national level, and are for the two years of 1995 and 2005 by the district level. The relationship between urbanization and land use changes in the national level is analyzed using statistical analysis(Correlation Analysis). In order to analyze the dynamic and spatial urbanization and land use changes effectively in the district level, Z-score, Paired T-test, Correlation Analysis, Analysis of Variance and Chi-squire Test are used. The results show negative correlation between urbanization rate and the rate of cultivated and forest land, and positive correlation between urbanization rate and the rate of urbanized area respectively. In the aspect of the change of urbanization rate, four categories are examined. In addition, four types are characterized on the basis of the rate of cultivated and forest land and the rate of urbanized area between 1995 from 2005.

• Communications for Statistical Applications and Methods
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• 제12권1호
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• pp.241-252
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• 2005

In this study we suggest that the spatial correlation structure of the brain fMRI data be used to characterize the functional connectivity of the brain. For some concussion and recovery data, we examine how the correlation structure changes from one step to another in the data analyses, which will allow us to see the effect of each analysis to the spatial correlation or the functional connectivity of the brain. This will lead us to spot the processes which cause significant changes in the spatial correlation structure of the brain. We discuss whether or not we can decompose correlation matrices in terms of its causes of variations in the data.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권6호
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• pp.1649-1667
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• 2012

In order to improve the accuracy and universality of the flow metric correlation analysis, this paper firstly analyzes the characteristics of Internet flow metrics as random variables, points out the disadvantages of Pearson Correlation Coefficient which is used to measure the correlation between two flow metrics by current researches. Then a method based on Symmetrical Uncertainty is proposed to measure the correlation between two flow metrics, and is extended to measure the correlation among multi-variables. Meanwhile, the simulation and polynomial fitting method are used to reveal the threshold value between different correlation degrees for SU method. The statistical analysis results on the common flow metrics using several traces show that Symmetrical Uncertainty can not only represent the correct aspects of Pearson Correlation Coefficient, but also make up for its shortcomings, thus achieve the purpose of measuring flow metric correlation quantitatively and accurately. On the other hand, reveal the actual relationship among fourteen common flow metrics.