恳请大神帮忙翻译一下，内容不长，但是属于报告的一部分，希望能用报告问题帮我翻译，非常感谢，无需机器

前言：
本次研究主要采用的是经典时间序列中的乘数模型，而在预测的时候主要采用的是先计算出最佳离合线在进行合理的预测。使用经典时间序列方法的原因是，（1）系统分析：当观测值取自两个以上变量时,可用一个时间序列中的变化去说明另一个时间序列中的变化,从而深入了解给定时间序列产生的机理。（2） 预测未来：一般用ARMA模型拟合时间序列,预测该时间序列未来值。 （3）决策和控制：根据时间序列模型可调整输入变量使系统发展过程保持在目标值上,即预测到过程要偏离目标时便可进行必要的控制。
Foreword:
In this study, the multification model of the classic time series is mainly being used. Also during the the forecast, the method of first to work out the best clutch line before carrying out the reseanable forecast / prediction was mainly adopted. The reasons for using of the classic time series are:
(1) For systematic analysis:
When the observation value is obtained from 2 or more variables, which can use the changes of one of the calssic time series to demonstrate the changes of the other one. from which, to gain a more profound understanding of the mechanism of the one given time series.
(2) Forecast / prediction of the future:
Generally, it uses the ARMA model to fit in the time series and forecast the future value of the time series.
(3) Decision making and control:
According to the time series model, it can adjust the input variables to keep the process of the system development on target, which is, when the forecast is off target during the process then the control can be carried out.

已全部替你翻译完毕，希望会令你满意。

其中如: calculate 与 work out 可以互相更换，因为意思相同。
同样情形: forecast / prediction / aniticipate 也是可以互换。
还有其它的不能一一列举，若你发现有你认为更满意的词请自行替换，谢谢你的求助和耐心等候。我要去睡觉了，Good night! (对你应该是早安!)

Foreword: the research mainly adopts the classic multiplier model in time series, and mainly used in prediction is to calculate the best clutch line on the reasonable forecast. The reason of the classical time series method is used,
(1) system analysis: when the observations from two or more variables, and changes in a time series is available to show the changes in a time series, thus further understanding the mechanism of a given time series.
(2) to predict the future: general in fitting time series ARMA model, and forecast the time series values in the future.
(3) decision making and control: according to the time series model can be used to adjust the input variables to keep system development process on the target, namely to deviate from the predicted process can make the necessary control target.