Table 1.

ANOVA data of regression parameters of the Box–Behnken design experiment

Source of variation	Y1			Y2
	Sum of squares	F-value	P-value probability	Sum of squares	F-value	P-value probability
Model	1.729E + 05	28.49	< 0.0001	184.89	24.07	< 0.0001
X1	4592.58	5.30	0.0469	2.22	1.19	0.2974
X2	8147.75	9.40	0.0136	46.93	25.08	0.0003
X3	7713.23	8.90	0.0154	–	–	–
X1X2	5327.14	6.14	0.0351	8.67	4.63	0.0524
X2X3	–	–	–	–	–	–
X1X3	3620.34	4.18	0.0714	–	–	–
X12	–	–	–	–	–	–
X22	1.328E + 05	153.22	< 0.0001	127.06	67.89	< 0.0001
X32	6849.18	7.90	0.0204	–	–	–
Residual	7803.08			22.46
Lack of fit	6313.69	3.39	0.1301	20.17	4.41	0.0841
Pure error	1489.39			2.29
Cor total	1.807E + 05			207.34
Std Dev	29.45			1.37
Mean	382.90			89.14
C.V. (%)	7.69			1.53
PRESS	47,647.95			52.07
R2	0.9568			0.8917
Adjusted R2	0.9232			0.8556
Predicted R2	0.7363			0.7489