Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	-46.557	29.175	-1.596	0.124
X	14.175	5.62	2.522	0.019
- - -
Residual Std. Err.	82.068 on 23 df
Multiple R-sq.	0.217
Adjusted R-sq.	0.183

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
X	1	42847.824	42847.824	6.362	0.019
Residuals	23	154907.216	6735.096