Table 3.

Analysis of variance of regression model.

Item	Sum of squares	Degree of freedom	Mean square	F value	p value	Significance
Model	0.18	9	0.020	939.55	<0.0001	**
A	8.817 × 10-5	1	8.817 × 10-5	4.11	0.0832	–
B	4.382 × 10-6	1	4.382 × 10-6	0.20	0.6650	–
C	2.039 × 10-7	1	2.039 × 10-7	9.503 × 10-3	0.9251	–
AB	0.023	1	0.023	1066.67	<0.0001	**
AC	0.022	1	0.022	1034.16	<0.0001	**
BC	0.019	1	0.019	888.41	<0.0001	**
A2	0.023	1	0.037	1711.78	<0.0001	**
B2	0.035	1	0.035	1648.76	<0.0001	**
C2	0.033	1	0.033	1527.23	<0.0001	**
Residual error	1.502 × 10-4	7	2.416 × 10-5
Misfit term	6.008 × 10-5	3	2.003 × 10-5	0.89	0.5193	–
Pure error	9.011 × 10-5	4	2.253 × 10-5
Total error	0.18	16

* *: The difference is extremely significant (p < 0.0001); *: The difference is significant (0.0001 < p < 0.05); -: The difference is not significant (p > 0.05).