线性回归分析在人力资源需求预测中的应用——以科技产业为例  

Application of Linear Regression Analysis to Human Resource Demand Forecast-A Case Study of Science and Technology Industry

作　　者：周雨璋 ZHOU Yuzhang(Tiyi High School,Wuxi Jiangsu 214000)

机构地区：[1]江苏省天一中学,江苏无锡214000

出　　处：《中国科技纵横》2023年第15期29-31,共3页China Science & Technology Overview

摘　　要：科技型企业发展过程中,人力资源规划预测企业各个时期的人才需求和企业人力资源总量,能够使企业减少不必要的开支,实现合理的资源分配和科学化管理,让企业效益最大化。基于此,运用多元线性回归预测人力资源在科技企业中的合理需求量,并运用拉索回归模型分析并筛选出高度相关的变量,使线性回归模型更加准确。In the process of the development of science and technology enterprises,human resource planning predicts the demand for talents in each period of the enterprise and helps the enterprise to predict its total human resources,which can reduce the cost of the enterprise,achieve reasonable resource allocation and scientific management,so as to achieve the maximum efficiency of the enterprise.This paper uses multiple linear regression to predict the reasonable demand of human resources in science and technology enterprises.The Lasso regression model is used to analyze and screen out highly correlated variables,which makes the linear regression model more accurate initially.

关 键 词：线性回归 人力资源预测 拉索回归 

分 类 号：C93[经济管理—管理学]