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本文着重以社会经济因素中农产品生产、商品住宅以及衣着类工业品的价格等因素,通过建立回归模型,讨论其对居民消费价格的影响。在数据处理过程中,通过对数据异方差检验、序列自相关性检验、多重共线性检验,并用逐步回归分析法克服了多重共线性的影响,最终得到了能够解释居民消费价格指数的回归方程,发现农产品生产价格和衣着类工业品价格对居民消费价格影响显著。
This article focuses on the socio-economic factors in the production of agricultural products, commercial housing and clothing industrial products prices and other factors, through the establishment of regression models to discuss its impact on consumer prices. In the process of data processing, through the test of heteroskedasticity of data, sequence autocorrelation test, multicollinearity test and stepwise regression analysis to overcome the influence of multicollinearity, the regression equation which can explain the consumer price index is finally obtained. It is found that the prices of agricultural products and the price of industrial products of apparel have a significant impact on the consumer prices.