If there are 1% or 5% variables in the regression results, other non-core variables with 10% significance level are also useful in core journals.

Extension:

Regulating variable If the relationship between variable Y and variable X is a function of variable M, m is called regulating variable. That is to say, the relationship between y and x is influenced by the third variable m, and the regulating variables can be qualitative (such as gender, race, school type, etc. ) or quantitative (such as age, years of education, times of stimulation, etc. ), affecting the direction (positive or negative) and strength of the relationship between the dependent variable and the independent variable.

Intermediate variable:

Mediator is an important statistical concept. If the independent variable X has a certain influence on the dependent variable Y through a certain variable M, then M is called the intermediary variable of X and Y. The purpose of studying the intermediary is to explore the internal mechanism of this relationship on the basis of understanding the relationship between X and Y.

In this process, the original research on the same phenomenon can be linked, and the original theories used to explain similar phenomena can be integrated to make the existing theories more systematic. The study of intermediary variables can not only explain the mechanism behind the relationship, but also integrate the existing research or theory, which is of great theoretical and practical significance.