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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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It is important that a company prodicts the demand a product it manufactures. The process of judgement in determining the quantity of the product that will be demanded in the market place at a given time is known as demand prediction. This is important not only in preventing losses due to the inventory accumulation that results from over-production, also as part of a social obligation of a corporation that has to aid in stablizing the market by appropriately meeting the demand.
Such a demand prediction can be calculated using Method of least squares. the foundation of regression analysis, a statistical method of analyzing the relationship between two or more variables. It predicts how other variables react as the one variable changes. The relationship between the fertilizer supplied to a parcel of farmland and the yield, or people's income and demand for certain product can be considered examples.
When a company wants to predict the market demand of its product. by obtaining trend formula using Method of least squares. Regression analysis is used to predict the future demand or the result. The advantages of Regression analysis are: prevention of error due to signes : it reflects all factor's since it doestn's exclude any limits' relatively simple.
Accordingly, in this paper, the theoretical foundation and its regression analysis was investigated.
Such a demand prediction can be calculated using Method of least squares. the foundation of regression analysis, a statistical method of analyzing the relationship between two or more variables. It predicts how other variables react as the one variable changes. The relationship between the fertilizer supplied to a parcel of farmland and the yield, or people's income and demand for certain product can be considered examples.
When a company wants to predict the market demand of its product. by obtaining trend formula using Method of least squares. Regression analysis is used to predict the future demand or the result. The advantages of Regression analysis are: prevention of error due to signes : it reflects all factor's since it doestn's exclude any limits' relatively simple.
Accordingly, in this paper, the theoretical foundation and its regression analysis was investigated.
목차
1. 序論
2. 回歸分析과 相關關係
3. 最小自乘法에 의한 回歸式
4. 結論
參考文獻
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UCI(KEPA) : I410-ECN-0101-2009-326-014573111