Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-10.146	16.675	-0.608	0.545
X	0.595	0.167	3.572	0.001
- - -
Residual Std. Err.	15.439 on 77 df
Multiple R-sq.	0.142
Adjusted R-sq.	0.131

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
IQ	1	3042.247	3042.247	12.762	0.001
Residuals	77	18354.943	238.376