Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	64.466	0.656	98.24	0
X	0.718	0.012	57.658	0
- - -
Residual Std. Err.	2.037 on 86 df
Multiple R-sq.	0.975
Adjusted R-sq.	0.974

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Grade	1	13787.769	13787.769	3324.461	0
Residuals	86	356.674	4.147