Table 3 Evaluation of the prediction model of multiples linear regression for Xcn1 production.
Source | Sum of Squares | Df | Mean Square | F Value | P Value |
|---|---|---|---|---|---|
Model | 11599.14 | 9 | 1288.79 | 18.38 | < 0.0001** |
A- Maltose (\({\text{X}}_{1}\)) | 1233.45 | 1 | 1233.45 | 17.59 | 0.0018 |
B- Proteose peptone (\({\text{X}}_{2}\)) | 1027.77 | 1 | 1027.77 | 14.66 | 0.0033 |
C- K2HPO4 (\({\text{X}}_{3}\)) | 1403.17 | 1 | 1403.17 | 20.01 | 0.0012 |
AB | 736.90 | 1 | 736.90 | 10.51 | 0.0088 |
AC | 12.00 | 1 | 12.00 | 0.17 | 0.6878 |
BC | 343.74 | 1 | 343.74 | 4.90 | 0.0512 |
A2 | 1812.96 | 1 | 1812.96 | 25.85 | 0.0005 |
B2 | 5259.52 | 1 | 5259.52 | 75.00 | < 0.0001 |
C2 | 788.68 | 1 | 788.68 | 11.25 | 0.0073 |
Residual | 701.28 | 10 | 70.13 | ||
Lack of Fit | 665.31 | 5 | 133.06 | 18.49 | 0.0031** |
Pure Error | 35.98 | 5 | 7.20 | ||
Cor Total | 12300.42 | 19 |
