The author proposed a simpler forecast method -weighting single regression linear return forecast method.

作者提出一种更简便的预测方法——加权一元线性回归预测法。

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Besides, the LQ theorem presented in this paper can be used to change a nonlinear single regression problem to a linear one by means of transformation of variables.

此外，本文提出的LQ定理使我们能用相关分析法，通过变量变换，把单因素非线性回归问题，化成线性形成来处理。

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Any regression type defects can be spotted early and with a minimal amount of testing as compared to running a single, long regression run at the end of the cycle.

任何回归类型的缺陷都可以很早发现，并且与在循环的末尾运行单个的长期回归运行相比使用了最小量的测试。

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