Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	0.342	14.151	0.024	0.981
X	4.313	2.993	1.441	0.16
- - -
Residual Std. Err.	43.85 on 31 df
Multiple R-sq.	0.063
Adjusted R-sq.	0.033

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
dWt	1	3993.743	3993.743	2.077	0.16
Residuals	31	59608.5	1922.855