Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	82.193	3.632	22.627	0
X	0.35	0.07	4.995	0
- - -
Residual Std. Err.	10.693 on 83 df
Multiple R-sq.	0.231
Adjusted R-sq.	0.222

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Grade	1	2853.374	2853.374	24.954	0
Residuals	83	9490.814	114.347