Table 4. The results of the linear regression analysis performed in the model in which gender and age were analyzed as predictors of the length of sick leave expressed in working days in the group of patients that decided to comply with the doctor's recommendation and take a sick leave.

Predictors	B	Beta	t	P
(Constant)	6.94		142.65	.001
Age	.05	.06	38.61	.001
Gender	−2.64	−.15	−97.66	.001

B – unstandardized regression coefficients; Beta –standardized regression coefficients; t – statistical test for predictor's significance; p – statistical significance.