Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-19.417	7.218	-2.69	0.011
X	0.626	0.173	3.627	0.001
- - -
Residual Std. Err.	13.015 on 32 df
Multiple R-sq.	0.291
Adjusted R-sq.	0.269

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
BV	1	2228.682	2228.682	13.157	0.001
Residuals	32	5420.588	169.393