Table 6 Analysis of variance (ANOVA) results of the regression equation.
Parameters | Sum of squares | Degree of freedom | Mean square | F-value | P value Prob > F |
|---|---|---|---|---|---|
Model | 2.417E + 007 | 14 | 1.727E + 006 | 15.18 | < 0.0001 |
A | 23232.00 | 1 | 23232.00 | 0.20 | 0.6582 |
B | 6.330E + 005 | 1 | 6.330E + 005 | 5.56 | 0.0334 |
C | 1.118E + 006 | 1 | 1.118E + 006 | 9.83 | 0.0073 |
D | 3.248E + 006 | 1 | 3.248E + 006 | 28.56 | < 0.0001 |
AB | 2.059E + 006 | 1 | 2.059E + 006 | 18.10 | 0.0008 |
AC | 14280.25 | 1 | 14280.25 | 0.13 | 0.7284 |
AD | 1.624E + 006 | 1 | 1.624E + 006 | 14.28 | 0.0020 |
BC | 7.630E + 005 | 1 | 7.630E + 005 | 6.71 | 0.0214 |
BD | 2.814E + 005 | 1 | 2.814E + 005 | 2.47 | 0.1380 |
CD | 8.436E + 005 | 1 | 8.436E + 005 | 7.42 | 0.0165 |
A2 | 1.095E + 007 | 1 | 1.095E + 007 | 96.24 | < 0.0001 |
B2 | 4.231E + 006 | 1 | 4.231E + 006 | 37.19 | < 0.0001 |
C2 | 2.360E + 006 | 1 | 2.360E + 006 | 20.75 | 0.0004 |
D2 | 8.842E + 005 | 1 | 8.842E + 005 | 7.77 | 0.0145 |
Residual | 1.592E + 006 | 14 | 1.137E + 005 | ||
Lack of Fit | 1.491E + 006 | 10 | 1.491E + 005 | 5.89 | 0.0511 |
Pure Error | 1.013E + 005 | 4 | 25322.80 | ||
SD | 340.61 | R2 | 0.9382 | ||
Mean | 2206.55 | Adj-R2 | 0.8764 | ||
C.V. % | 15.44 | Pred-R2 | 0.6605 | ||
Press | 8.303E + 006 | Adequate precision | 14.060 | ||
