Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-10.942	21.275	-0.514	0.609
X	0.607	0.213	2.852	0.006
- - -
Residual Std. Err.	15.908 on 68 df
Multiple R-sq.	0.107
Adjusted R-sq.	0.094

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
IQ	1	2059.057	2059.057	8.136	0.006
Residuals	68	17208.443	253.065