Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	30.238	2.764	10.939	0
X	-0.01	0.004	-2.442	0.021
- - -
Residual Std. Err.	8.85 on 28 df
Multiple R-sq.	0.176
95% CI Multiple R-sq.	[0.017, 0.428]
Adjusted R-sq.	0.146

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Per_Capita_Income	1	467.216	467.216	5.966	0.021
Residuals	28	2192.916	78.318