Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	25.266	14.95	1.69	0.093
X	0.238	0.088	2.718	0.007
- - -
Residual Std. Err.	14.858 on 198 df
Multiple R-sq.	0.036
Adjusted R-sq.	0.031

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
height	1	1630.887	1630.887	7.387	0.007
Residuals	198	43713.113	220.773