Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	98.648	8.624	11.439	0
X	0.02	0.161	0.122	0.903
- - -
Residual Std. Err.	10.666 on 29 df
Multiple R-sq.	0.001
Adjusted R-sq.	-0.034

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Grade	1	1.706	1.706	0.015	0.903
Residuals	29	3299.068	113.761