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

Table 4

Correlation test for MQR-updated.

Variable	Parameters Estimate	Standard Error	TValue	p-Value
Intercept	10.8428	1.3143	8.2501	<0.0001
X2	0.6451	0.1085	5.9462	<0.0001
X4	-4.2175	0.2558	-16.4867	<0.0001
X5	0.5760	0.0896	6.4292	<0.0001
X1X2	0.8776	0.1483	5.9170	<0.0001
X1X4	-5.7966	0.4445	-13.0407	<0.0001
X1X5	4.7375	0.2526	18.7538	<0.0001
X2X3	-0.0073	0.0008	-9.6089	<0.0001
X2X4	0.0983	0.0118	8.3297	<0.0001
X2X5	-0.0494	0.0047	-10.3963	<0.0001
X3X4	0.0265	0.0025	10.6561	<0.0001
X4X5	-0.0869	0.0145	-6.0100	<0.0001
X1X1	-56.3251	4.5516	-12.3748	<0.0001
X2X2	-0.0369	0.0021	-17.3334	<0.0001
X3X3	-0.0008	0.0001	-6.8581	<0.0001
X4X4	0.3209	0.0205	15.6840	<0.0001
X5X5	0.0113	0.0022	5.1592	<0.0001