• Communications for Statistical Applications and Methods
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• v.19 no.3
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• pp.367-379
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• 2012

In baseball rankings, prediction has been a subject of interest for baseball fans. To predict these rankings, (based on 2011 data from Korea Professional Baseball records) the arithmetic mean method, the weighted average method, principal component analysis, and principal component regression analysis is presented. By standardizing the arithmetic average, the correlation coefficient using the weighted average method, using principal components analysis to predict rankings, the final model was selected as a principal component regression model. By practicing regression analysis with a reduced variable by principal component analysis, we propose a rank predictability model of a pitcher part, a batter part and a pitcher batter part. We can estimate a 2011 rank of pro-baseball by a predicted regression model. By principal component regression analysis, the pitcher part, the other part, the pitcher and the batter part of the ranking prediction model is proposed. The regression model predicts the rankings for 2012.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.203-204
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• 2016

최근 자연재난으로 인한 인명피해는 감소하는 추세를 나타내고 있으나, 기후변화 및 도시화 등으로 인해 재산피해는 점차 증가하고 있는 실정이다. 기존의 연구는 재난이 일어난 후 사후복구차원에서 피해액을 집계하거나 복구비를 추정하는 연구가 주를 이루고 있으며, 재난이 발생하기 전에 피해액을 추정하는 연구는 매우 미흡한 실정이다. 따라서 본 연구에서는 과거 통계자료를 기반으로 인공신경망과 다중회귀분석을 이용하여 전체 자연재난 피해액의 약 95%를 차지하는 호우피해액을 예측하기 위한 피해함수 개발하고자 한다. 대상지역으로는 경기도 지역으로 선정하였고, 1994년부터 2015년까지의 수문기상자료와 시군구별 재해통계자료를 수집하여 분석을 위한 함수개발을 위한 자료로 재구축하였다. 또한 시간별 최대 강우량과 피해액에 대한 상관분석을 실시하여 지속시간별(1~24시간) 최대강우 자료와 재해기간별 선행강우(1~5일)자료, 그리고 재해기간의 총강우량 자료가 상관성이 높다는 것을 파악했다. 이를 독립변수로 활용하고, 재해기간별 피해액을 종속변수로 사용하여 지역별 호우피해 예측함수를 개발하였다. 본 연구는 효율적이고, 효과적으로 재해예방을 위한 방재체계를 수립하는데 기초자료로 활용될 것으로 판단되며, 사전대비 차원의 재난관리를 통해 정책결정권자들의 의사결정에도 도움을 줄 수 있다고 판단된다.

• Journal of Convergence for Information Technology
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• v.7 no.5
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• pp.25-30
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• 2017

This study was to investigate the supporting awareness and empathy with the dental hygiene student. The participants were 193 dental hygiene students in Gwang Ju city and analyzed by the frequency analyzed, t-test, ANOVA, pearson corelation coefficients and multiple regression analysis using IBM SPSS STATICS 20.0. Supporting awareness and empathy about the elderly had a significant positive correlation. Factors influencing empathy were interest of elderly problem and supporting awareness. It is necessary to the establishment of a subject and education program about elderly in dental hygiene students.

• International Commerce and Information Review
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• v.19 no.1
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• pp.67-98
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• 2017

This study intended to investigate to what extent country image of America and previous visit experience affect the cross-border shopping intention. In particular, the present study used a country image measurement brought from another research study the factors of which are economy-technology image, social-cultural image, and citizen image. A total of 155 respondents participated in the survey targeting Korean citizen for the present study. Single regression, multiple regression, and independent t-test were conducted for data analysis. The result of the single regression indicated that country image is a critical predictor of cross-border shopping intention. The Multiple regression revealed that among three factors composing country image, social-cultural image plays the most significant and economy-technology image plays the second-most significant role in influencing cross-border shopping intention. However, it was found that citizen image does not play a substantial role for some reason. Moreover, the result of t-test showed that those who have a prior visit experience to America are more likely to buy products online from America than those who don't have prior visit experience. More detailed findings and implications will be discussed in the manuscript.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1525-1536
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• 2016

ROTC is the system that selects the best students in university and implements the military training of two years and uses them as beginning commander of the army by commissioning as officers. ROTC makes up a very large portion of the army and society in Korea in terms of the size and role. Therefore, it is very important to enhance intangible combat power of the Korean army by improving leadership of primary grade officer from ROTC. The purpose of this paper is to investigate whether or not ROTC candidate training program is providing the right training, so as to improve ROTC's leadership and present improvement plan. First, we divide ROTC candidate training program into three areas and take the 1st and 2nd survey. Then we compare and analyze the actual condition and recognition of investigation using statistical analysis methods such as chi-square test, ANOVA and Duncan's multiple range test. Also, we analyze the element affecting the army leader's three qualities formation which are basic elements of ROTC cadet's leadership using multiple regression analysis.

• Culinary science and hospitality research
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• v.16 no.4
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• pp.124-138
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• 2010

This study aims to investigate the effect of hotel and restaurant employees' eating habits on their dining-out behavior. 309 workers from die hotel and restaurant companies participated in the survey, and SPSS 14.0 was used to perform frequency analyses, factor analyses, f-tests, ANOVA and multiple regression analyses. An exploratory factor analysis revealed three eating habits; unhealthy, healthy and ideal eating habits with 62.250% of the cumulative variance explained. The factor analysis included the priority on menu items, atmosphere and location of a restaurant with 60.658% of the total variance explained The results of the t-tests gave partial supports for the hypothesized gender difference in eating habits and for the hypothesis that eating habits would differ according to marital status. The result of ANOVA gave a partial support for die hypothesized age difference in eating habits. The result of the multiple regression analysis showed that all eating habits, unhealthy($\beta$=0.326, p<0.000), healthy($\beta$=0.290, p<0.000) and ideal($\beta$=0.305, p<0.000), had a significant effect on the priority on menu items. Eating habits explained 13.1% of die total variance in the importance of restaurant atmosphere and location. The influence of unhealthy eating habits was not statistically significant ($\beta$=0.002, p<0.965) while the influence of healthy($\beta$=0.309, p<0.000) and ideal eating habits($\beta$=0.189, p<0.000) was statistically significant Consequently, there was a partial support for the hypothesis that eating habits would influence die priority of restaurant atmosphere and location as a factor when dining out.

• Journal of Korean Society of Disaster and Security
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• v.13 no.3
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• pp.15-28
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• 2020

Hydrological data is very important in understanding the hydrological process and identifying its characteristics to protect human life and property from natural disasters. In particular, hydrological analysis are often performed assuming that hydrological data are stationary. However, recently climate change has raised the issue of climate stationary, and it is necessary to analyze the nonstationary of the climate. In this study, a method to analyze the stationarity of hydrological data was examined using the annual precipitation of 37 meteorological stations with long - term record data. Therefore, in this study, the stationary was determined by analyzing the persistence, trend, and stability using annual precipitation. Overall results showed that a trend was observed in 4 out of 37 stations, stable was investigated at 15 stations, and persistence was shown at 4 stations. In the stationary analysis using the annual precipitation data, 25 stations (67% of 37 stations) were nonstationary.

• Journal of Korean Library and Information Science Society
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• v.47 no.3
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• pp.365-382
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• 2016

In this paper, impact of science and technology information service quality satisfaction and perceived importance on the user loyalty was studied to find the way of improvement of information service quality. To analyze the impact among service quality variables, the research questions and hypothesis are set and statistical analysis on 641 survey answers was conducted. The correlation between satisfaction and perceived importance regarding each service quality item was high. Relationship between satisfaction of every item of the service quality and overall satisfaction was verified by multiple regression analysis. As a result, the five out of seven independent variables are statistically significant influence to the dependent variable. Relationship between the perceived importance and loyalty for each item was verified by multiple regression analysis was confirmed that the four out of seven independent variables are statistically significant influence to the dependent variable. The overall satisfaction is having an effect on loyalty verified through simple regression analysis.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.38 no.2
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• pp.237-247
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• 2018

The basin characteristics reflect the attributes of geomorphological pattern of basin and stream networks affect the rainfall-runoff. In order to analyze the relationship between the basin runoff and stream morphometric characteristics, the morphometric characteristics were investigated for 27 water-level observation stations on 19 rivers in the Han River basin using Arc-map. The morphometric characteristics were divided into linear, areal and relief aspects for calculation while the annual mean runoff ratio as a basin response by rainfall was estimated using the measured precipitation and discharge to analyze the rainfall-runoff characteristics. The correlation among the morphometric parameters were schematized to analyze the correlations among them. The multiple regression equation for rainfall-runoff ratio was provided with morphometric parameters of stream length ratio, form factor ratio, shape factor, stream area ratio, and relief ratio and the coefficient of determination was 0.691. The RMSE and MAPE between the measured and the estimated annual runoff rates were found as 0.09, 11.61% respectively, the suggested regression equation showed good estimation.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.1
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• pp.135-144
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• 2009

The objective of this study is to examine the effect of hydrological factors on critical durations, and to analyze the relationship between the watershed characteristics and the critical duration of design rainfall in the medium sized catchments. Hydrological factors are used to return period, probable intensity formula, hydrograph method, effective rainfall and temporal pattern of design rainfall. Hydrologic analysis has done over the 44 medium sized catchments with $50{\sim}5,000{\beta}{\yen}$. Watershed characteristics such as catchment area, channel length, channel slope, catchment slope, time to peak, concentration of time and curve number were used to simulate correlation analysis. All of hydrological factors except return period influence to the critical duration of design rainfall. Also, it is revealed that critical duration is influenced by the watershed characteristics such as area, channel length, channel slope and catchment slope. Multiple regression analysis using watershed characteristics is carried out for the estimation of relationship among these. And the 7 type equations are proposed by the multiple regression using watershed characteristics and critical duration of design rainfall. The determination coefficient of multiple regression equations shows $0.96{\sim}0.97$.