Table 4.

Association between EI and PS by simple linear regression and general linear regression analysis (n = 234)

Variable	Simple Linear Regression			General Linear Regression
	b	95% CI	P-value	Adjusted b	95% CI	t-statistics	P-value
EI score	−0.145	−0.197, −0.092	< 0.001	−0.156	−0.207, −0.104	−5.97	< 0.001
Year of study
Preclinical year	Reference
Clinical year	1.591	0.252, 2.929	0.020	1.683	0.431, 2.934	2.65	0.009
Sex
Male	Reference
Female	1.229	−0.301, 2.758	0.115	1.620	0.189, 3.050	2.23	0.027
Dentistry was my own choice
Yes	Reference
No	1.906	0.506, 3.306	0.008	–	–	–	–
Satisfied with my career choice
Yes	Reference
No	0.684	−2.414, 3.782	0.664	–	–	–	–

b: Crude regression coefficient; Adjusted b: Adjusted regression coefficient.

For the general linear regression model, R²= 0.161; the model has a good fit; model assumptions are met; there is no interaction between independent variables; and there is no multicollinearity problem.