Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-16.501	13.23	-1.247	0.216
X	0.66	0.132	4.995	0
- - -
Residual Std. Err.	14.682 on 83 df
Multiple R-sq.	0.231
Adjusted R-sq.	0.222

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
IQ	1	5378.9	5378.9	24.954	0
Residuals	83	17891.148	215.556