Table 9.

The values of regression coefficients and analysis of the models for yield of sugars.

GLUCOSE YIELD
Parameter	Coefficient Estimate	Standard Error	Sum of Squares	Degrees of Freedom	Mean Square	F-Value	p-Value Probability > F
Model			34.11	5	6.82	350.71	<0.0001
Intercept	3.35	0.046		1
X1	−1.57	0.049	19.72	1	19.72	1013.91	<0.0001
X2	−0.30	0.049	0.70	1	0.70	35.81	<0.0001
X3	−0.11	0.049	0.091	1	0.091	4.68	0.0533
X1 X2	0.21	0.070	0.18	1	0.18	9.08	0.0118
X12	−1.78	0.068	13.42	1	13.42	690.07	<0.0001
Residual			0.21	11	0.019
Lack of fit			0.16	7	0.023	1.75	0.3071
Pure error			0.053	4	0.013
R2	0.9938		Adj R2	0.9909
C.V. %	5.55		Pred R2	0.9810
PRESS	0.65		Adeq Precision	46.573
FRUCTOSE YIELD
Parameter	Coefficient Estimate	Standard Error	Sum of Squares	Degrees of Freedom	Mean Square	F-Value	p-Value Probability > F
Model			37.10	3	12.37	212.08	<0.0001
Intercept	3.41	0.080		1
X1	−1.78	0.085	25.37	1	25.37	435.04	<0.0001
X2	−0.25	0.085	0.51	1	0.51	8.78	0.0110
X12	−1.63	0.12	11.22	1	11.22	192.43	<0.0001
Residual			0.76	13	0.058
Lack of fit			0.57	9	0.063	1.34	0.4149
Pure error			0.19	4	0.047
R2	0.9800		Adj R2	0.9754
C.V. %	9.14		Pred R2	0.9641
PRESS	1.36		Adeq Precision	34.725
MALTOSE YIELD
Parameter	Coefficient Estimate	Standard Error	Sum of Squares	Degrees of Freedom	Mean Square	F-Value	p-Value Probability > F
Model			27.33	6	4.56	338.9	<0.0001
Intercept	1.98	0.039		1
X1	−1.79	0.041	25.68	1	25.68	1910.07	<0.0001
X2	−0.35	0.041	0.97	1	0.97	72.32	<0.0001
X3	0.077	0.041	0.047	1	0.047	3.50	0.0910
X1 X2	0.33	0.058	0.43	1	0.43	31.93	0.0002
X1 X3	−0.12	0.058	0.059	1	0.059	4.42	0.0619
X12	−0.19	0.056	0.15	1	0.15	11.16	0.0075
Residual			0.13	10	0.013
Lack of fit			0.067	6	0.011	0.67	0.6865
Pure error			0.067	4	0.017
R2	0.9951		Adj R2	0.9922
C.V. %	6.13		Pred R2	0.9900
PRESS	0.27		Adeq Precision	57.856