Table 3 ANOVA for quadratic model. Response 1: yield
From: Optimization of inulin production process parameters using response surface methodology
Basis | Sum of squares | Degree of freedom | Mean square | F value | p value | Significance |
|---|---|---|---|---|---|---|
Quadratic model | 16.78 | 9 | 1.86 | 12.97 | 0.0014 | Significant |
A-Temperature | 0.0378 | 1 | 0.0378 | 0.2630 | 0.6239 | |
B-Creep speed | 0.0171 | 1 | 0.0171 | 0.1190 | 0.7402 | |
C-Pressure | 2.74 | 1 | 2.74 | 19.04 | 0.0033 | |
AB | 0.3481 | 1 | 0.3481 | 2.42 | 0.1637 | |
AC | 0.0992 | 1 | 0.0992 | 0.6901 | 0.4336 | |
BC | 0.2970 | 1 | 0.2970 | 2.07 | 0.1938 | |
A2 | 2.68 | 1 | 2.68 | 18.67 | 0.0035 | |
B2 | 3.44 | 1 | 3.44 | 23.90 | 0.0018 | |
C2 | 5.77 | 1 | 5.77 | 40.15 | 0.0004 | |
Residual | 1.01 | 7 | 0.1438 | |||
Lack of fit | 0.3369 | 3 | 0.1123 | 0.6707 | 0.6132 | Not significant |
Pure error | 0.6697 | 4 | 0.1674 | |||
Cor total | 17.79 | 16 |