本文通过对影响汽车消费的几个因素综合分析,通过时间结构序列与多元统计相结合的模型,首先采用时间序列方法把增长趋势进行分解,然后再用主成分方法求得相应变量的得分,接下来剔除其它无关因素做回归,最后进行主成分的估计。模型考虑了多方面的因素,具有较强的解释能力。 Based on the comprehensive analysis of several factors influencing the automobile consumption, this article first analyzes the growth trend by the time series method and then obtains the score of the corresponding variable by the principal component method through the model of time series and multivariate statistics Remove other unrelated factors to return, and finally the main component of the estimate. The model takes into account many factors and has strong explanatory power.