Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	0.207	0.025	8.375	0
X	0.003	0	6.502	0
- - -
Residual Std. Err.	0.042 on 28 df
Multiple R-sq.	0.602
95% CI Multiple R-sq.	[0.392, 0.752]
Adjusted R-sq.	0.587

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
temp	1	0.076	0.076	42.28	0
Residuals	28	0.05	0.002