{"title":"Construction and Empirical Test of Multiple Regression Model of Talent Demand: Take Bangladesh as an example","authors":"Linyan Li, Xiao Bai, Yirun Pan","doi":"10.1145/3564858.3564897","DOIUrl":null,"url":null,"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.","PeriodicalId":331960,"journal":{"name":"Proceedings of the 5th International Conference on Information Management and Management Science","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th International Conference on Information Management and Management Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3564858.3564897","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.