If there are the same variables in a paper, you can put two regression models, but you should pay attention to the correlation between variables and different influencing mechanisms, and at the same time carefully analyze the results to avoid the problem of multiple linearity. In addition, if the correlation between variables is strong, it is suggested to use multiple regression model for analysis, and the influence of multiple variables on dependent variables can be considered at the same time. Finally, it should be noted that choosing a suitable regression model needs to comprehensively consider the correlation between variables, influencing mechanism, sample characteristics and other factors. Only by choosing the most suitable model can we draw accurate and reliable conclusions.