“…3 and Equation ( 2), although univariate regression can only explain 25.8% of the data variance, the regression equation is statistically significant (p < 0.01). Interestingly, the results of Equations ( 2) is very similar to that in the groundbreaking work of Francis Galton on the relationship between father and son's height (Pence, 2015). Affected by discipline level, age, professional title, gender, and other potential factors (Heffernan, 2018;McNaught, 2020;Carter et al, 2021), by including only one predictive variable, STAII, it is insufficient to accurately explain or fit the output score, but STAII shows a definite positive contribution to the output score.…”