Results Multiple linear regression model was established in which the average per capita hospitalization cost was as a dependent variable.

结果建立了以人均住院成本为因变量的多重线性回归模型。

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Finally, the performance of information diffusion yield estimation model was compared with multiple linear regression model and BP neural network model.

然后针对模型的稳定性和精度进行交叉验证，并与多元线性回归模型和BP神经网络模型进行对比。

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According to substation defect data characteristic, the way of using multiple linear regression model to implement data mining is put forward and realized in practice.

文中根据变电站缺陷数据的特点，提出了采用多元线形回归模型进行数据挖掘的方法，并具体得以实现。

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