Table 2.

Residual sum of squares (RSS) for both model fits for BR, UR and C groups

		Euoxia				Hypoxia
	Subject no.	N	RSS1/df1 (1 min−1)2	RSS2/df2 (1 min−1)2	F	n	RSS1/df1 (1 min−1)2	RSS2/df2 (1 min−1)2	F
	002	709	6.71	6.70	n.s.	695	8.05	8.13	n.s.
	004	862	6.42	6.39	n.s.	444	6.44	6.54	n.s.
	005	828	4.92	4.93	n.s.	885	3.91	3.87	P < 0.005
BR	006	828	3.69	3.68	n.s.	903	2.94	2.97	n.s.
	111	722	1.37	1.37	n.s.	745	1.60	1.62	n.s.
	168	764	2.14	2.19	n.s.	—	—	—	—
	953	419	2.17	2.17	n.s.	438	2.70	2.74	n.s
	Overall		4.08	4.08	n.s.		4.11	4.11	n.s.
	001	907	5.48	5.49	n.s.	929	7.90	7.91	n.s.
	003	863	18.99	18.71	P < 0.005	1004	11.58	11.32	P < 0.005
	004b	713	16.02	15.65	P < 0.005	321	19.47	19.28	P < 0.05
UR	007	843	2.40	2.04	P < 0.005	949	2.27	1.97	P < 0.005
	104	599	3.29	3.19	P < 0.005	759	0.81	0.81	P < 0.05
	105	736	1.67	1.65	P < 0.05	760	1.92	1.90	P < 0.005
	110	641	8.32	8.10	P < 0.005	750	5.01	4.98	P < 0.005
	Overall		8.18	7.99	P < 0.005		6.03	5.87	P < 0.005
	103	804	3.93	3.81	P < 0.005	935	5.12	5.03	P < 0.005
	217	714	8.45	8.21	P < 0.005	655	9.74	9.29	P < 0.005
	222	866	7.58	7.50	P < 0.01	958	10.85	10.37	P < 0.005
C	225	977	2.40	2.38	P < 0.005	1146	2.77	2.78	n.s.
	227	780	2.59	2.60	n.s.	802	2.11	2.13	n.s.
	243	737	5.05	5.05	n.s.	848	3.99	3.98	P < 0.05
	244	779	5.52	5.42	P < 0.005	832	5.67	5.53	P < 0.005
	Overall		4.98	4.90	P < 0.005		5.57	5.39	P < 0.005

N is the number of fitted data points, RSS₁ and RSS₂ are the residual sums of squares and df₁ and df₂ are the degrees of freedom (n minus number of model parameters) for the smaller and the larger models, respectively. Overall values are calculated as ΣRSS/Σdf.