一元线性回归模型在教育经济预测中的应用

Application of Unitary Linear Regression Model in Prediction of Educational Economy

经济发展日益迅速,通过经济预测把握未来经济发展趋势,帮助人们做出正确决策显得尤为重要。本文以2012-2021年期间国内生产总值与全国教育经费的数据为样本,对国内生产总值与全国教育经费之间的相关性进行了线性拟合,发现二者存在明显的线性关系,以此为基础建立了关于国内生产总值与全国教育经费之间的一元线性回归模型。基于样本数据,借助Excel软件对所建立的模型进行了参数估计,并利用模型对2022年的全国教育经费进行了预测应用。

With the rapid economic development,it is particularly important to grasp economic trend through economic prediction and help people make correct decisions.Based on the data of GDP and national education expenditure from 2012 to 2021,this paper makes a linear fitting of the correlation between GDP and national education expenditure.Results show that there exists obvious linear relationship between them.On this basis,a unitary linear regression model between GDP and national education expenditure is established.Based on the sample data,the parameters of the model are estimated by excel software,and the national education expenditure in 2022 is predicted with the model.