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多元回归分析下高校毕业生就业趋势预测

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为了更好地完成高校毕业生就业,提出了一种高校毕业生就业趋势预测方法.该方法使用灰度关联分析方法,度量高校毕业生就业趋势影响指标之间的灰色关联度,并选取就业趋势影响指标;应用多元回归分析方法,建立就业趋势影响指标关联式,构建就业趋势预测模型;利用最小二乘法,估计高校毕业生就业趋势预测模型的多元回归系数,实现高校毕业生就业动向预测.经过实验验证,该方法具有较好的预测效果,能够有效提高就业趋势预测准确性,缩短了就业趋势预测时间.
Employment trends prediction of college graduates using multiple regression analysis
In order to better improve the employment of college graduates,this paper puts forward a method for predicting the employment trend of college graduates.In this method,the gray correlation analysis meth-od is used to measure the gray correlation between the influencing indicators of employment trend of college graduates,and the influencing indicators of employment trend are selected.The method of multiple regres-sion analysis is used to establish the correlation of employment trend influencing indicators,and the employ-ment trend prediction model is constructed.By using the least square method,the multiple regression coef-ficient of the prediction model of college graduates'employment trend is estimated to predict the employ-ment trend of college graduates.The experiment results show that this method has a good prediction effect,which can effectively improve the accuracy of employment trend prediction and shorten the time of employ-ment trend prediction.

multiple regression analysisleast square methodcollege graduatesgray correlation analy-sisemployment trend forecast

蒋大锐、徐胜超

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广州华商学院数据科学学院,广州 511300

多元回归分析 最小二乘法 高校毕业生 灰度关联分析 就业趋势预测

国家自然科学基金面上项目广州华商学院校内导师制科研项目资助广州华商学院2023年创新创业教育专项研究课题

617722212023HSDS08HS2023-CXCY04

2024

信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
年,卷(期):2024.(10)