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Journal of Korean Society for Quality Management 1996;24(2): 158-. |
| 회귀 분석에서 이상치가 미치는 영향 |
| 김광수1, 배영주1, 이진규2 |
1충주산업대학교 산업공학과
2동국대학교 산업공학과 |
| The Effect of Outliers in Regression Analysis |
| Kwang-Soo Kim1, Young-Ju Bae1, Jin-Gue Lee2 |
1Dept. of Industrial Engineering, Chung Ju National University
2Dept. of Industrial Engineering, Dongguk University |
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| ABSTRACT |
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Outlier is one that appears to deviate extremely from other data in collected data. Thus treatment of outlier is very important work, because it is to distort the meaning of whole data in its analysis and to reduce the accuracy and validity for adequate models. The aim of this paper is to present some ways of handling outliers in given data and to investigate the effect of the analysis result before and after outlier reject. As a variety of methods has been proposed, we sellect the linear regression analysis and two linear programming techniques and compare to each result. |
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