A Copula Type-Model for Examining the Role of Microbiome as a Potential Tool in Diagnosis

Table 5

Parameter estimates (first row) and values (second row) for the regressors associated with the six predictors for individuals classified as sedentary. The response variable is BMI.

	Predictor 1	Predictor 2	Predictor 3	Predictor 4	Predictor 5	Predictor 6
Group 1	−0.3631	—	−0.5055	−0.2915	−0.1853	−0.1829
	0.0492	—	0.0534	0.2393	0.4711	0.2635
Group 2	0.2200	0.3914	—	0.2154	0.3215	0.1421
	0.2429	0.1217	—	0.3117	0.2173	0.3455
Group 3	−0.0267	0.2575	−0.2111	—	0.1062	−0.0071
	0.8716	0.2966	0.3209	—	0.6199	0.9604
Group 4	−0.1777	0.0996	−0.3113	−0.1064	—	−0.1145
	0.3450	0.6939	0.2281	0.6195	—	0.5254
Group 5	−0.0527	0.2175	−0.2280	−0.0181	0.0881	—
	0.6648	0.1641	0.1379	0.9004	0.6246	—
Group 0	—	0.3143	−0.1292	0.0849	0.1911	0.1057
	—	0.0819	0.4838	0.6061	0.3049	0.3826
Intercept	0.3101	0.3894	0.3626	0.3633	0.3634	0.3374
	0.5688	0.4873	0.4983	0.4989	0.4989	0.5406
	24.4923	24.70000	24.4250	24.4537	24.4532	24.6451
		31.3471	31.4683	31.3505	31.3616	31.3613	31.4405
		2.1269	2.1761	2.0905	2.0984	2.0984	2.1679
		1.6660	1.6123	1.6664	1.6643	1.6644	1.6371
AIC		2717.15	2717.25	2716.83	2716.83	2716.83	2717.54