Linear Regression for Resource Management Based on the Mental Load of University Students

Abstract

The study explore models to determine a significant relationship between the Human Resources Management of nursing students and mental load using binary logistic regression and neural networks. We applied a correlational design to associate the variables human resource management and mental workload. Complement the correlational analysis with neural networks to determine the importance of the physical and mental load of nursing students in human resource management.The result was that the mental load has greater importance in relation to the physical load of nursing students using neural networks. Logistic regression also establishes the impact of mental load on Human Resource Management. All based on the ROC curve as a complement to this result.It was concluded that the results with Neural Networks are similar to those obtained by the multivariate analysis of binary logistic regression.