基于SPSS多元线性回归模型在城市用水量的预测

Prediction of Urban Water Consumption Based on SPSS Multiple Linear Regression Model

应用多元线性回归分析原理及模型,以邯郸市为例,对城市用水量进行预测。采用逐步回归分析法,利用SPSS软件对影响城市用水量的因素进行多元线性回归分析,建立回归方程,分析城市用水量。该模型的最大误差值为0.378%,最小误差值为0.058%,平均误差值为0.241%,模型拟合情况良好,可以用来预测城市用水量。

The principle and model of multiple linear regression analysis are used to forecast the urban water consumption in Handan as an example. Using stepwise regression analysis,SPSS software was used to analyze the factors influencing the urban water consumption by multiple linear regression analysis,and the regression equation was used to analyze the urban water consumption. The maximum error of the model is 0. 378%,the minimum error is 0. 058%,the average error is 0. 241%,and the model is well fitted and can be used to predict the urban water consumption.