Application of Extreme Learning Machine for Predicting Chlorophyll-a Concentration Inartificial Upwelling Processes

Table 3

Correlation test for MQR.

Variable	ParametersEstimate	Standard Error	t Value	p-Value
Intercept	10.5306	1.4556	7.2346	<0.0001
X1	6.6003	5.3318	1.2379	0.2159
X2	0.6132	0.1217	5.0393	<0.0001
X3	0.0156	0.0261	0.5968	0.5507
X4	-4.0743	0.2622	-15.5412	<0.0001
X5	0.5394	0.1157	4.6605	<0.0001
X1X2	0.7263	0.2010	3.6127	0.0003
X1X3	0.1273	0.0834	1.5258	0.1272
X1X4	-6.9839	0.7005	-9.9700	<0.0001
X1X5	5.0367	0.2791	18.0447	<0.0001
X2X3	-0.0086	0.0010	-8.6792	<0.0001
X2X4	0.1025	0.0131	7.8027	<0.0001
X2X5	-0.0506	0.0054	-9.3766	<0.0001
X3X4	0.0207	0.0042	4.8882	<0.0001
X3X5	0.0038	0.0013	2.9932	0.0028
X4X5	-0.1162	0.0176	-6.6092	<0.0001
X1X1	-57.7413	4.8081	-12.0091	<0.0001
X2X2	-0.0357	0.0024	-14.7037	<0.0001
X3X3	-0.0007	0.0002	-4.7051	<0.0001
X4X4	0.3293	0.0209	15.7644	<0.0001
X5X5	0.0251	0.0047	5.2821	<0.0001