ANOVA data of regression parameters of the central composition design experiment^a.

	Y 1			Y 2
	Sum of squares	F-Value	p-Value probability	Sum of squares	F-Value	p-Value probability
Model	113.66	15.54	<0.0001*	39.5	16.9	< 0.0001*
X 1	68.85	84.73	<0.0001*	22.48	86.54	< 0.0001*
X 2	0.6154	0.7573	0.4046	0.1747	0.6726	0.4313
X 3	8.64	10.63	0.0086*	3.64	14.01	0.0038*
X 1 X 2	0.3805	0.4682	0.5094	0.1572	0.6051	0.4547
X 1 X 3	4.96	6.11	0.033*	2.34	8.99	0.0134*
X 2 X 3	2.15	2.64	0.1349	0.9275	3.57	0.0881
X 1 2	1.45	1.78	0.2116	0.6556	2.52	0.1432
X 2 2	24.33	29.95	0.0003*	8.3	31.94	0.0002*
X 3 2	1.54	1.9	0.1983	0.5048	1.94	0.1935
Residual	8.13			2.6
Lack of fit	1.58	0.2418	0.9273**	0.5997	0.3002	0.8937**
Pure error	6.54			2
Cor total	121.79			42.1
Std. dev.	0.9014			0.5097
Mean	14.78			8.61
C.V. (%)	6.1			5.92
PRESS	22.37			7.96
R-Squared	0.9333			0.9383
Adjusted R-squared	0.8732			0.8828
Predicted R-squared	0.8163			0.8109

^a* Indicate the significance at p-value <0.05. ** Indicate the insignificance at p-value <0.05.