Table 5.
Lack of Fit Tests | |||||
---|---|---|---|---|---|
Source | Sum of Squares | df | Mean Square | F-value |
P-value Prob > F |
Linear | 832.65 | 37 | 22.50 | 9.86 | 0.0021* |
2FI | 541.91 | 27 | 20.07 | 8.79 | 0.0032* |
Quadratic | 14.03 | 22 | 0.64 | 0.28 | 0.9899 |
Sequential Model Sum of Squares | |||||
---|---|---|---|---|---|
Source | Sum of Squares | df | Mean Square | F-value |
P-value Prob > F |
Linear vs Mean | 445.36 | 5 | 89.07 | 4.62 | 0.0018* |
2FI vs Linear | 290.74 | 10 | 29.07 | 1.77 | 0.1044 |
Quadratic vs 2FI | 527.88 | 5 | 105.58 | 102.03 | < 0.0001* |
Model Summary Statistics | |||||
---|---|---|---|---|---|
Source | Standard deviation | R-Squared | Adjusted R-Squared | Predicted R-Squared | PRESS |
Linear | 4.39 | 0.3442 | 0.2696 | 0.1588 | 1088.48 |
2FI | 4.05 | 0.5689 | 0.3787 | 0.1495 | 1100.53 |
Quadratic | 1.02 | 0.9768 | 0.9608 | 0.9474 | 68.01 |
“* Significant values, df : degree of freedom, PRESS: sum of squares of prediction error, two factors interaction: 2FI”.