Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	6.242	3.173	1.967	0.058
X	0.976	0.033	29.406	0
- - -
Residual Std. Err.	2.78 on 33 df
Multiple R-sq.	0.963
Adjusted R-sq.	0.962

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
wea	1	6683.83	6683.83	864.694	0
Residuals	33	255.08	7.73