Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-61.942	32.031	-1.934	0.062
X	1.3	0.173	7.507	0
- - -
Residual Std. Err.	78.093 on 33 df
Multiple R-sq.	0.631
Adjusted R-sq.	0.619

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
IQ	1	343675.141	343675.141	56.354	0
Residuals	33	201251.145	6098.52