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本文采用回归诊断方法来决定自变量的变换和剔除原始数据中的异常点,使原始数据能符合回归模型的假设条件,从而建立起一个模拟“缫丝计价”的最优评茧回归模型。该模型已成功地应用于生产实践。
In this paper, the regression diagnosis method is used to determine the transformation of the independent variables and remove the abnormal points in the original data so that the original data can meet the assumptions of the regression model, so as to establish an optimal cocoon regression model that simulates the reeling cost. The model has been successfully applied to production practices.