多元线性回归模型预测重庆市用水量

采用多元线性回归法预测城市用水总量。通过主成分分析确定用水人口、国民生产总值、工业用水重复利用率、年降水量、建成区绿化覆盖率为有效自变量，应用Eviews软件建立数学模型，实现多元线性回归分析。根据残差图检验模型的有效性，结果表明模型回归效果良好，可为准确预测城市用水量提供参考。

Prediction of water consumption in Chongqing with multiple linear regression model

A multiple linear regression method was adopted in the prediction for urban water consumption. Population of water consumption, GDP, industrial water recycle rate, and green cover percentage of built-up area were chosen as effective variables by principal component analysis, and the mathematical model was set up with Eviews software to realize multiple linear regression analysis. The effectiveness of model was examined by residual plot. The result showed that it was satisfied with the effect of regression, and it could provide reference for accurate prediction of urban water consumption.