Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	1.122	0.075	15.059	0
X	1.157	0.028	40.609	0
- - -
Residual Std. Err.	0.709 on 171 df
Multiple R-sq.	0.906
95% CI Multiple R-sq.	[0.846, 0.947]
Adjusted R-sq.	0.906

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Carbon_Footprint	1	829.436	829.436	1649.125	0
Residuals	171	86.005	0.503