Linear Regression Model
Y ~ X
coefficients:
	Estimate	Std. Error	t value	Pr(>|t|)
(Intercept)	3.806	0.434	8.77	0
X	0.014	0.005	2.614	0.013
- - -
Residual Std. Err.	2.551 on 33 df
Multiple R-sq.	0.172
Adjusted R-sq.	0.146

ANOVA Statistics
	Df	Sum Sq	Mean Sq	F value	Pr(>F)
Triglyceride	1	44.486	44.486	6.835	0.013
Residuals	33	214.773	6.508