Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	81.297	2.478	32.806	0
X	0.38	0.047	8.071	0
- - -
Residual Std. Err.	10.876 on 174 df
Multiple R-sq.	0.272
Adjusted R-sq.	0.268

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Grade	1	7705.192	7705.192	65.134	0
Residuals	174	20583.694	118.297