Table 3. ANOVA for the Quadratic Modela.
source | sum of squares | df | mean square | F-value | prob > F | |
---|---|---|---|---|---|---|
model | 10753.51 | 9 | 1194.83 | 247.10 | <0.0001 | significant |
X1-first cross-linking | 7793.14 | 1 | 7793.14 | 1611.66 | <0.0001 | |
X2-imprinting pH | 427.49 | 1 | 427.49 | 88.41 | <0.0001 | |
X3-second cross-linking | 232.52 | 1 | 232.52 | 48.09 | 0.0002 | |
X1X2 | 300.68 | 1 | 300.68 | 62.18 | <0.0001 | |
X1X3 | 253.29 | 1 | 253.29 | 52.38 | 0.0002 | |
X2X3 | 62.57 | 1 | 62.57 | 12.94 | 0.0088 | |
X12 | 1465.65 | 1 | 1465.65 | 303.10 | <0.0001 | |
X22 | 143.10 | 1 | 143.10 | 29.59 | 0.0010 | |
X32 | 3.66 | 1 | 3.66 | 0.76 | 0.4132 | |
residual | 33.85 | 7 | 4.84 | |||
lack of fit | 25.64 | 3 | 8.55 | 4.16 | 0.1010 | not significant |
pure error | 8.21 | 4 | 2.05 | |||
Cor total | 10,787.35 | 16 |
R2 = 0.996, pred. R2 = 0.961, adj. R2 = 0.993.