Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	0.064	2.493	0.026	0.98
X	-0.06	0.13	-0.463	0.651
- - -
Residual Std. Err.	8.699 on 13 df
Multiple R-sq.	0.016
Adjusted R-sq.	-0.059

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
male	1	16.246	16.246	0.215	0.651
Residuals	13	983.649	75.665