TABLE 2.

Regression analysis of variable relationships.

Regression equation		Overall fit index			Significance of coefficient of regression		95% CI
Outcome variable	Predictive variable	R	R 2	F	β	t	Bootstrap lower limit	Bootstrap higher limit
SQ	Gender	0.11	0.01	4.39	−0.01	−0.25	−0.57	0.44
	Age				0.09	2.95**	0.06	0.31
	PE				−0.08	−2.35*	−0.02	−0.002
MIN	Gender	0.12	0.02	5.09	−0.01	−0.32	−1.94	1.39
	Age				−0.02	−0.55	−0.53	0.30
	PE				0.12	3.45***	0.03	0.10
RT	Gender	0.38	0.14	42.07	−0.04	−1.28	−2.28	0.48
	Age				−0.005	−0.16	−0.37	0.31
	PE				−0.07	−2.06*	−0.06	−0.001
	MIN				−0.37	−12.51***	−0.38	−0.28
SQ	Gender	0.33	0.11	23.99	−0.002	−0.07	−0.50	0.47
	Age				0.09	3.00**	0.06	0.30
	PE				−0.04	−1.17	−0.02	0.004
	MIN				−0.15	−4.69***	−0.07	−0.03
	RT				0.22	6.77***	0.05	0.10

Bootstrap sample size = 5,000. Bootstrap 95% CI does not contain 0 value, indicating a significant coefficient.

*P < 0.05, **P < 0.01, ***P < 0.001.