The Statistical Analysis of HR Employee Retention, Salary Variation of Remote Work and Earthquake Occurrence Probability

Abstract

As the fast development of statistical techniques, more and more statistical methods are widely used in different area. In this paper, we will conduct an analysis on employee retention problem, remote work salary problem, and the earthquake forecast problem based on statistical approaches. For the employee retention problem, we apply logistic regression to the HR employee retention data and successfully construct a model, which can predict each employees’ probability of leaving the company. As for the remote work salary problem, we apply multivariable linear regression to find out the impact of remote work on salary. According to the analysis, the type of remote work may have an impact on the salary. Compared to participants working on site, participants with 50% remote ratio had the mean of 17298.72 lower salary (P < 0.05). For the earthquake forecast problem, we construct a Poisson model based on the previous seismic data from Chinese mainland. Then we calculate the probabilities of earthquake occurrence and predicts the amount of earthquake in certain time interval and then verifies. These results shed light on guiding further exploration of statistical techniques including logistic regression, multivariable linear regression and Poisson model.