And we forecast the vehicle population from 2007 to 2017 by use of multi-linear regression model.

并应用多元线性回归模型预测了2007年到2017年的汽车保有量。

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Basically, the traditional way may involve method of time series, multi-linear regression and the Fourier expansion, etc.

传统方法中主要有时间序列法、多元线性回归法及傅立叶展开法等。

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Finally, this article discussed the first data-mining model, the regression model (specifically, the linear regression multi-variable model), and showed how to use it in WEKA.

最后，本文探讨了第一个数据挖掘模型：回归模型(特别是线性回归多变量模型)，另外还展示了如何在WEKA中使用它。

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