TABLE 4.

Mixed model for average lifespan using body weight, body length and median rTL for estimating average lifespan.

Variable	d.f.	AIC	Adjusted R2	p-value	Estimate of coefficients	The best model for life span estimation
						Lifespan ∼ Log(body weight)	Lifespan ∼ Log(body weight + body length)
univariate analyse: lifespan ∼ a variable					log(body weight)	9.039 ± 1.408	5.839 ± 3.373
rTL	21	217.25	–0.0476	0.9826	body length	-	1.543 ± 1.479
log(rTL)	21	217.25	–0.0431	0.7662	intercept	−8.490 ± 9.510	4.102 ± 15.354
body weight	21	202.80	0.4410	0.0063
log(body weight)	21	192.26	0.6465	<0.0001
body length	21	194.25	0.6145	<0.0001
log(body length)	21	193.83	0.6216	<0.0001
univariate analyse: rTL ∼ a variable
body weight	21	–60.09	–0.0390	0.6805
log(body weight)	21	–60.03	–0.0415	0.7280
body length	21	–60.04	–0.0414	0.7263
log(body length)	21	–59.91	–0.0470	0.9119
multivariate analyse: life span ∼ variables
rTL, log(body weight)	20	194.03	0.6285	<0.0001
rTL, body length	20	195.98	0.6000	<0.0001
log(body weight), body length	20	193.04	0.6479	<0.0001
rTL, log(body weight), body length	19	195.03	0.6296	<0.0001