Table 2.
Linear model examining the influence of sexual orientation and sex on mean F0
R2 = 87% | β | SE | F | p |
---|---|---|---|---|
Intercept | 116.67 | 2.76 | ||
SexOr | 225.07 | < .001 | ||
Heterosexual men/homosexual men | 1.67 | 3.25 | ||
Heterosexual women/homosexual men | 85.29 | 4.28 | ||
Age | − 0.18 | 0.28 | 0.44 | .50 |
Testosterone | − 0.03 | 0.03 | 1.70 | .19 |
Monthly income | 0.38 | 0.63 | 0.36 | .54 |
Education | − 0.10 | 0.41 | 0.06 | .80 |
Relationship status | 0.78 | .38 | ||
Yes/no | 2.34 | 2.65 |
For each variable, the estimate (β), standard error of the mean (SE), the F and the p values associated from the Fisher test of the comparison between the full model and the model without the factor are given. For the categorical variables “SexOr” and “Relationship status,” the estimates are given for one category compared to the reference category (SexOr: Homosexual men; Relationship status: No). R2 is the variance explained by the model. Sample size: NHeterosexual men = 48; NHomosexual men = 58, Nwomen = 54