Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	3.753	0.424	8.853	0
X	0.016	0.005	3.012	0.005
- - -
Residual Std. Err.	2.482 on 33 df
Multiple R-sq.	0.216
Adjusted R-sq.	0.192

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
loss	1	55.9	55.9	9.071	0.005
Residuals	33	203.359	6.162