多元回归模型及其在GDP增长中的应用
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摘要
在模型建立中,检验是建立的核心,模型的检验包括拟合优度检验、F检验等。通过国家统计局2017年经济数据收集我国31个省的数据,包括居民消费、固定资产投资、人均可支可支配收入、居民消费价格指数、商品零售价格指数、进出口额以及地方财政一般预算支出,用于研究分析影响地方GDP增长的因素,并建立回归模型。然后在回归模型基础上进行回归分析,获取在不同经济条件下对GDP起显著作用的因素。
In the model establishment,the test is the core of the establishment,and the test of the model includes the goodness of fit test and the F test.Then,through the 2017 national economic data of the National Bureau of Statistics,data were collected from 31 provinces in China,including household consumption,fixed asset investment,disposable income per capita,consumer price index,retail price index,import and export volume,and local fiscal expenditure.Used to study and analyze the factors affecting local GDP growth and establish a regression model.Then,regression analysis is performed on the regression model to obtain the factors that play a significant role in GDP under different economic conditions.
In the model establishment,the test is the core of the establishment,and the test of the model includes the goodness of fit test and the F test.Then,through the 2017 national economic data of the National Bureau of Statistics,data were collected from 31 provinces in China,including household consumption,fixed asset investment,disposable income per capita,consumer price index,retail price index,import and export volume,and local fiscal expenditure.Used to study and analyze the factors affecting local GDP growth and establish a regression model.Then,regression analysis is performed on the regression model to obtain the factors that play a significant role in GDP under different economic conditions.
引文
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[4]李宝瑜.国民经济统计分析[M].北京:中国统计出版社,2002.
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