Construction and Empirical Test of Multiple Regression Model of Talent Demand: Take Bangladesh as an example

Linyan Li, Xiao Bai, Yirun Pan
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引用次数: 0

Abstract

Talents play a very important role in economic development. Combined with references, this paper takes Bangladesh as an example and selects GDP, the proportion of secondary industries, the proportion of tertiary industries and employment as independent variables, and higher education enrollment as dependent variables. Besides, principal component analysis is used to carry on the regression analysis, the talent demand multiple regression model is constructed, and then the talent demand is forecasted. Finally, the forecast result is compared with the actual value. The results show that the maximum error between the predicted value and the actual value of the talent demand of the multiple regression model is 1.17%, and the minimum error is 0.18%. Therefore, this model can be used to predict talent demand in other countries, and the multiple regression model is highly reliable.
人才需求多元回归模型的构建与实证检验——以孟加拉国为例
人才在经济发展中起着非常重要的作用。结合文献,本文以孟加拉国为例,选取GDP、第二产业比重、第三产业比重、就业为自变量,高等教育招生为因变量。并利用主成分分析法进行回归分析,建立人才需求多元回归模型,对人才需求进行预测。最后,将预测结果与实际值进行了比较。结果表明,多元回归模型的人才需求预测值与实际值的最大误差为1.17%,最小误差为0.18%。因此,该模型可用于预测其他国家的人才需求,多元回归模型具有较高的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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