摘要
从网络搜集整理2016年全国各省主要用水指标的相关数据,我们选取人均国内生产总值、人均综合用水量、万元国内生产总值用水量、农田灌溉水有效利用系数以及万元工业增加值用水量建立了回归方程模型,估计回归方程的系数与置信区间。从残差图可以看出,该模型预测效果较好,从而得到结论,各省人均国内生产总值与这些用水指标高度相关。
It was collected and sorted out relevant data on the main water consumption indicators of each province in the country in 2016 from the Internet,such as per capita GDP,per capita comprehensive water consumption,water consumption per 10,000 yuan of GDP,effective use coefficient of farmland irrigation water,and water consumption per 10,000 yuan of industrial added value.The regression equation model was established,and the coefficients and confidence intervals of the regression equation were estimated.From the residual plot,it can be seen that the prediction effect of the model is better,leading to the conclusion that the per capita GDP of each province is highly correlated with these water use indicators.
作者
刘冰南
Liu Bingnan(College of Agriculture and Hydraulic Engineering,Suihua University,Suihua,Heilongjiang 152061)
出处
《绥化学院学报》
2023年第8期15-17,共3页
Journal of Suihua University
基金
黑龙江省大学生创新创业训练计划项目(S202210236089)
关键词
回归分析模型
回归系数
用水指标
regression analysis model
correlation coefficient
water use index
作者简介
刘冰南,女,绥化学院农业与水利工程学院讲师,研究方向:复杂系统建模、优化与控制。
