Table 2.

Results of regression analyses examining the relationships between romantic relationship status (single vs in love) and hormone levels, controlling for age and BMI (N = 116).

Dependent Variable	Predictors	Β	t (112)	P
Model 1: R2 = 0.006, F (3,112) = 0.22, p = 0.88
E2	Love status 1	0.04	0.43	0.66
	Age	0.03	0.36	0.72
	BMI	−0.05	−0.53	0.60
Model 2: R2 = 0.06, F (3,112) = 2.23, p = 0.09
FSH	Love status 1	0.17	1.81	0.07
	Age	0.05	0.58	0.56
	BMI	−0.14	−1.51	0.13
Model 3: R2 = 0.07, F (3,112) = 2.72, p = 0.048
LH	Love status 1	0.20	2.15	0.03
	Age	0.08	0.85	0.40
	BMI	−0.13	−1.37	0.17
Model 4: R2 = 0.02, F (3,112) = 0.88, p = 0.45
PRL	Love status1	−0.04	−0.45	0.65
	Age	0.03	0.35	0.72
	BMI	−0.15	−1.60	0.11
Model 5: R2 = 0.08, F (3,112) = 0.33, p = 0.02
E2/T	Love status 1	0.18	1.90	0.06
	Age	0.06	0.64	0.52
	BMI	0.06	0.62	0.54
Model 6: R2 = 0.02, F (3,112) = 0.88, p = 0.45
fT	Love status 1	−0.24	−2.68	0.008
	Age	−0.05	−0.53	0.60
	BMI	−0.16	−1.75	0.08
Model 7: R2 = 0.02, F (3,112) = 0.88, p = 0.45
CT	Love status 1	−0.15	−1.63	0.10
	Age	−0.10	−1.11	0.27
	BMI	−0.14	−1.49	0.14

¹ Coded as single = 0, in love = 1.