In order to study the prediction effect of human capital on career success, considering the effect of
demographic variables on career success, this paper uses the method of hierarchical regression. Firstly,
demographic variables as the first layer variables are introduced into the regression equation, and each
dimension of human capital are introduced into the equation as the second layer variables. Then, changes
caused by R2 between the two layers and the changes’ F test value are calculated to examine whether R2
is significantly improved. Demographic variables include sex, age, education, working tenure, work
position, work attribute, professional title level, annual salary and workplace nature.