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.