Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	89.657	4.573	19.607	0
X	0.103	0.093	1.109	0.273
- - -
Residual Std. Err.	8.313 on 51 df
Multiple R-sq.	0.024
Adjusted R-sq.	0.004

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Grade	1	84.917	84.917	1.229	0.273
Residuals	51	3524.102	69.1