求翻译：可见，时间序列平稳是经典回归分析赖以实施的基本假设，只有基于平稳时间序列的预测才是有效的。如果数据非平稳，则作为大样本下统计推断基础的“一致性”要求便被破坏，基于非平稳时间序列的预测也就失效。是什么意思？

Be seen that the time series is smooth basic assumptions of classical regression analysis, which implemented only based on the prediction of stationary time series is valid. If the data is non-stationary, as a large sample statistical inference based on "consistency" requirement will be destroyed, a

It is evident that time series regression analysis is a classic smooth implementation of the basic assumptions on which, if it is based on a smooth time-series forecast is valid.