Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-21.986	12.879	-1.707	0.091
X	0.716	0.128	5.603	0
- - -
Residual Std. Err.	15.125 on 85 df
Multiple R-sq.	0.27
Adjusted R-sq.	0.261

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
IQ	1	7180.577	7180.577	31.39	0
Residuals	85	19444.343	228.757