• Communications for Statistical Applications and Methods
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• v.17 no.6
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• pp.917-925
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• 2010

The canonical correlation biplot is a 2-dimensional plot for graphically investigating the relationship between two sets of variables and the relationship between observations and variables in the canonical correlation analysis. Recently, Choi and Choi (2008) suggested a method for investigating the relationship between skill and competition score factors of KLPGA players using this biplot. Choi et al. (2010) used this biplot to analyze the player characteristic factors and competitive factors of tennis Grand Slam competition. Moreover, Huh (1999) provided a generalized canonical correlation analysis and biplot for more than three sets of variables. A Procrustes analysis is a useful tool for comparing shapes between configurations. This study will provide a method to investigate the relationship between physique, physical fitness and basic skill factors of tennis players in the Korea Tennis Association using a generalized canonical correlation biplot and Procrustes analysis.

• Journal of Wellbeing Management and Applied Psychology
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• v.4 no.1
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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.

• Journal of The Korean Society of Agricultural Engineers
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• v.52 no.5
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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.

• Journal of Korean Society for Atmospheric Environment
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• v.2 no.1
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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.

• Journal of Oriental Neuropsychiatry
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• v.30 no.3
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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.

• Korean Journal of Food Science and Technology
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• v.51 no.3
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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.

• Journal of Korean Society of Water and Wastewater
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• v.31 no.1
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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.

• Journal of Korean Society of Rural Planning
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• v.13 no.2
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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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• v.12 no.1
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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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• v.6 no.6
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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.