SpringerPlus

Table 3 Regression analysis of COD and NH₃-N pollutants

From: Characterizing and explaining spatio-temporal variation of water quality in a highly disturbed river by multi-statistical techniques

Station	COD							NH₃-N
Station	Const	β _T	β _Q	F _sig	R ²_adj	VIF	Cl	Const	β _T	β _Q	F _sig	R ²_adj	VIF	Cl
Baidukou	*1.5627*	− *0.0020*	− *0.0017*	0.01	0.28	1.01	4.89	*1.0625*	− *0.0104*	− *0.0078*	0.01	0.40	1.01	4.89
Zhifang	*1.2708*	− *0.0014*	0.0015	0.01	0.17	1.08	4.09	0.2282	− *0.0067*	−0.0125	0.01	0.15	1.08	4.09
Chengwan	*1.2321*	−0.0032	–	0.60	0.04	1.12	4.33	0.1321	− *0.0391*	*0.001*	0.01	0.38	1.12	4.87
Lifen	*1.3748*	–	− *0.0012*	0.02	0.01	1.00	2.94	–	–	–	–	–	–	–
Zhidian	*1.3933*	−0.0030	− *0.0004*	0.01	0.17	1.24	4.85	*0.603*	− *0.0190*	− *0.0005*	0.01	0.50	1.24	4.85

Estimated coefficients (Const: constant intercept, \(\beta_{T}\): water temperature, \(\beta_{Q}\): water discharge) in bolditalic or italic mean 0.05 or 0.10 significant level of t test). \(F_{sig}\) and \(R_{adj}^{2}\) are the significant level of F test and determination coefficient for the estimated model. VIF and Cl are variance inflation factor and maximum condition index

Back to article page