Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	0.02	0.245	0.084	0.934
X	0.001	0.083	0.009	0.993
- - -
Residual Std. Err.	2.313 on 179 df
Multiple R-sq.	0
Adjusted R-sq.	-0.006

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
DHt	1	0	0	0	0.993
Residuals	179	957.911	5.351