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

Table 6

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

	Predictor 1	Predictor 2	Predictor 3	Predictor 4	Predictor 5	Predictor 6
Group 1	0.0419	—	0.1453	0.0264	0.2168	0.0526
	0.6145	—	0.4500	0.8847	0.2696	0.6742
Group 2	−0.1095	−0.1466	—	−0.1185	0.0662	−0.1277
	0.4624	0.4459	—	0.4661	0.7654	0.3291
Group 3	0.0164	−0.0282	0.1186	—	0.1793	0.0202
	0.8980	0.8769	0.4660	—	0.3258	0.8540
Group 4	−0.1438	−0.1902	−0.0425	−0.1618	—	−0.1669
	0.3464	0.3322	0.8481	0.3746	—	0.2921
Group 5	0.0084	−0.0252	0.1204	0.0022	0.1827	—
	0.9295	0.8366	0.3558	0.9843	0.2488	—
Group 0	—	−0.0328	0.1126	−0.0056	0.1725	−0.0027
	—	0.8068	0.4497	0.9650	0.2594	0.9771
Intercept	0.2075	0.2282	0.2308	0.2307	0.1902	0.1731
	0.6145	0.5798	0.5754	0.5754	0.6438	0.6438
	23.9065	23.8923	23.8953	23.8921	23.8906	23.8869
		31.2608	31.2582	31.2606	31.2576	31.2563	31.2567
		1.9478	1.9444	1.9434	1.9417	1.9408	1.9418
		1.4769	1.4785	1.4779	1.4788	1.4790	1.4803
AIC		3264.49	3264.45	3264.45	3264.45	3264.47	3264.58