• Title/Summary/Keyword: 다중회귀 분석

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A Study on Work and Environmental Variables Explaining Newcomers' Turnover Intentions (신입사원의 이직의도에 영향을 미치는 작업환경 변수에 관한 연구)

  • Tak, Jin-Kook;Lee, Dong-Ha;Park, Ji-Hyun;Kim, Hyun-Hae;Jung, Byung-Suk
    • The Korean Journal of Applied Statistics
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    • v.21 no.3
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    • pp.469-484
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    • 2008
  • This study was intended to examine various work and environmental variables explaining newcomers' turnover intentions. Data were collected from 901 newcomers using online survey. Results of multiple regression analyses showed that individual-job fit, reward dissatisfaction, fringe benefit dissatisfaction, vision in organization, participation in decision making, realistic job preview, leader dissatisfaction, co-worker relationship and work environment explained significant variances of turnover intentions. Data were classified into full-time and part time employees based on employment type and into a large and a small-medium company based on company size. There were small differences in significant variables explaining turnover intentions based on company size as well as employment type. Finally implications and future research were discussed.

Typhoon Path and Prediction Model Development for Building Damage Ratio Using Multiple Regression Analysis (태풍타입별 피해 분석 및 다중회귀분석을 활용한 태풍피해예측모델 개발 연구)

  • Yang, Seong-Pil;Son, Kiyoung;Lee, Kyoung-Hun;Kim, Ji-Myong
    • Journal of the Korea Institute of Building Construction
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    • v.16 no.5
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    • pp.437-445
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    • 2016
  • Since typhoon is a critical meteorological disaster, some advanced countries have developed typhoon damage prediction models. However, although South Korea is vulnerable to typhoons, there is still shortage of study in typhoon damage prediction model reflecting the vulnerability of domestic building and features of disaster. Moreover, many studies have been only focused on the characteristics and typhoon and regional characteristics without various influencing factors. Therefore, the objective of this study is to analyze typhoon damage by path and develop to prediction model for building damage ratio by using multiple regression analysis. This study classifies the building damages by typhoon paths to identify influencing factors then the correlation analysis is conducted between building damage ratio and their factors. In addition, a multiple regression analysis is applied to develop a typhoon damage prediction model. Four categories; typhoon information, geography, construction environment, and socio-economy, are used as the independent variables. The results of this study will be used as fundamental material for the typhoon damage prediction model development of South Korea.

An Filtering Automatic Technique of LiDAR Data by Multiple Linear Regression Analysis (다중선형 회귀분석에 의한 LiDAR 자료의 필터링 자동화 기법)

  • Choi, Seung-Pil;Cho, Ji-Hyun;Kim, Jun-Seong
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.4
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    • pp.109-118
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    • 2011
  • In this research estimated accuracies that were results in all the area of filtering of the plane equation that was used by whole data set, and regional of filtering that was driven by the plane equation for each vertual Grid. All of this estimates were based by all the area of filtering that deduced the plane equation by multiple linear regression analysis that was used by ground data set. Therefore, accuracy of all the area of filtering that used whole data set has been dropped about 2~3% when average of accuracy of all the area of filtering was based on ground data set while accuracy of Regional of filtering dropped 2~4% when based on virtual Grid. Moreover, as virtual Grid which was set 3~4 cm was difference about 2% of accuracy from standard data. Thus, it leads conclusion of set 3~4 times bigger size in virtual Grid filtering over LiDAR scan gap will be more appropriated. Hence, the result of this research allow us to conclude that there was difference in average accuracy has been noticed when we applied each different approaches, I strongly suggest that it need to research more about real topography for further filtering accuracy.

A Convergence Study of Factors Influencing on Depressive Symptoms in Postmenopausal Middle-Aged Women (폐경 후 중년여성의 우울 증상 영향요인의 융합연구)

  • Kim, Younglan;Won, Mi Hwa
    • Journal of Convergence for Information Technology
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    • v.10 no.4
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    • pp.25-34
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    • 2020
  • The purpose of this study was to identify its influencing factors of depressive symptoms in postmenopausal middle-aged women though analyzing secondary data. The data of 647 with 40~65 aged women who participated in the Seventh Korea National Health and Nutrition Examination Survey in 2016 were used. The data were analyzed by complex sample independent t-test and multiple linear regression. In multiple linear regression analysis, economic status, subjective health status, perceived stress, smoking, physical activity, and limitation of active had significant effect on depressive symptoms in postmenopausal middle-aged women. These variables explained 36% of the variance in depressive symptoms. The findings suggest that healthcare providers should be considered to these factors when developing intervention strategies to decrease depressive symptoms in postmenopausal middle-aged women.

Impact of Positive Thinking and Interpersonal Relationship on Communication Competency in Nursing Students (간호대학생의 긍정적 사고와 대인관계가 의사소통능력에 미치는 영향)

  • Ryu, Hyun-Sook;Choi, Bong-Sil
    • Journal of the Korean Applied Science and Technology
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    • v.38 no.6
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    • pp.1596-1605
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    • 2021
  • This study was conducted to identify the factors affecting the communication competency in nursing students. Method: The subjects of this study were 171 nursing students from two universities located in G and P cities. The collected data were analyzed by t-test, ANOVA, Pearson's Correlation Coefficient, and Multiple Regression Analysis. Results: As a result of multiple regression analysis, the significant predictors of communication competency of nursing students were interpersonal relationships(β=.404, p<.001) and positive thinking(β=.274, p=.014). Communication competency was explained 47.9% of variance in interpersonal relationship and positive thinking. Conclusion: The results of this study showed that interpersonal relationship and positive thinking in nursing students were the influential factor on communication competency. Therefore, the results of this study suggest that it is necessary to find ways to improve interpersonal relationship and positive thinking in order to improve communication competency of nursing students, and it is considered to be useful as basic data for developing intervention programs to improve communication competency.

Relationship Among Job-Training, Job-Satisfaction and Job Performance of Police Officers' (경찰관의 직무교육과 직무만족, 직무성과의 관계)

  • Ahn, dong-hyon
    • Proceedings of the Korea Contents Association Conference
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    • 2013.05a
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    • pp.241-242
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    • 2013
  • 이 연구는 경찰공무원의 직무교육이 직무만족, 직무성과에 미치는 관계를 규명하는데 있다. 이 연구는 2012년 경찰교육원 교육과정 중 경비관련 직무 5개 과정에 입교한 전국 경찰관을 모집단으로 선정한 후 판단표집법을 이용하여 268명의 사례를 분석하였다. 자료처리는 SPSSWIN 18.0을 이용하여 빈도분석, 요인분석, 신뢰도분석, 다중 회귀분석, 경로분석 등이다. 결론은 다음과 같다. 첫째, 경찰관의 직무교육이 직무만족에 영향을 미친다. 둘째, 경찰관의 직무교육이 직무성과에 영향을 미친다. 셋째, 경찰관의 직무만족이 직무성과에 영향을 미친다.

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Relationship between TRMM TMI observation and typhoon intensity (TRMM TMI 관측과 태풍강도와의 관련성)

  • Byon, Jae-Young;Park, Jong-Sook;Kim, Baek-Jo
    • Proceedings of the KSRS Conference
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    • 2007.03a
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    • pp.224-227
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    • 2007
  • 마이크로파 센서 자료를 이용하여 태풍 강도를 산출하고자 TRMM TMI로부터 관측된 자료와 태풍 강도의 최대 상관성을 나타내는 지역올 찾고 최적의 상관 변수를 선정하였다. 분석기간은 2004년 6월부터 9월까지 발생된 태풍으로써 18개의 사례이다. TMI로부터 관측된 85 GHz 채널의 밝기온도,구름내 총 수증기량,얼음양,강우 강도,잠열방출양이 태풍 강도와의 상관성 분석을 위한 변수로 분석되었다. 태풍의 강도는 RSMC-Tokyo에서 발표된 Best track의 최대 풍속 자료를 이용하였다. 위성 관측 변수를 태풍 중심으로부터 공간 평균하였을 때 반경 2.0-2.5도 정도의 평균거리에서 최대의 상관성을 보였다. 위성 자료로부터 태풍 중심 풍속을 추정하기 위하여 회귀분석을 하였다. Best track과의 오차는 85 GHz 밝기온도와 수증기량을 이용한 다중 회귀 분석에서 오차가 최소를 보였다. 한편, 태풍강도 예측을 위한 통계모델에 마이크로파 위성 자료를 예측인자로 입력하여 태풍강도의 정확도가 3-6%정도 향상됨을 보였다.

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Analysis of stock price fluctuations due to positive news (긍정적 뉴스에 따른 주가변동 분석)

  • Shin-Tae Hyun;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.161-162
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    • 2024
  • 언젠가 한 번쯤 "뉴스에서 발생하는 소식들은 주가변동에 어떤 영향을 줄까?" 하고 궁금해 본 적이 있을 것이다. 본 논문에서는 이러한 궁금증을 해소하기 위해 뉴스기사에 따른 주식시장의 변동을 연구분석한 내용을 소개한다. 이를 위해 뉴스기사를 크롤링하고 자연어 처리 기술을 통해 긍정적 기사와 부정적 기사를 분류하고 해당 날짜의 주가변동 그래프를 분석하여 뉴스에서의 긍정적 요소와 부정적 요소가 주식시장에 얼마나 영향을 주는지 머신러닝 알고리즘을 통해 알아보았다.

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A Study on the Utilization and Satisfaction of Parks for the Senior Citizens (노인의 공원 이용과 만족도에 관한 연구 -서울 강동구 고덕산을 대상으로-)

  • Kim, Jeong Ho;Lee, Sang Hoon;Yoon, Yong Han;Park, Eun Kyoung
    • Korean Journal of Environment and Ecology
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    • v.34 no.2
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    • pp.179-187
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    • 2020
  • The study was conducted on Godeoksan, Gangdong-gu, Seoul, for the study of elderly people's park use and satisfaction. For the analysis, frequency analysis was performed on all items, and reliability analysis was performed to check the validity of the items. Factor analysis was used to identify items that have a significant effect on the customer's satisfaction. Multiple regression analysis was performed using the derived factors. As a result of factor analysis, it was found that the factors affecting satisfaction were composed of three factors and 69.50% of the total variance was explained. The KMO value, which means the sample fit between items, was analyzed as .756. Factors were classified into usage aspect, ecological aspect, and amenityt aspect by reflecting the characteristics of the item. As a result of the multiple regression analysis through the derived factors, the multiple regression equation for the elderly's park use satisfaction was analyzed to be Y = 3.678 + 0.202X1 + 0.125X2 + 0.236X3. In this study, there are limitations in conducting a questionnaire survey for the elderly who lack professional knowledge. In the future, evaluation studies should be conducted for the elderly with specialized knowledge, and it is judged that a comparative study of ecological, utilization, and climatic aspects by age is necessary.