Variance analysis results of regression modela.
Source | Sum of squares | df | Mean square | F Value | p-Value Prob > F |
---|---|---|---|---|---|
Model | 4236.25 | 14 | 302.59 | 46.47 | <0.0001 |
A | 19.18 | 1 | 19.18 | 2.95 | 0.1067 |
B | 0.34 | 1 | 0.34 | 0.052 | 0.8233 |
C | 550.79 | 1 | 550.79 | 84.58 | <0.0001 |
D | 0.76 | 1 | 0.76 | 0.12 | 0.7366 |
AB | 2.54 | 1 | 2.54 | 0.39 | 0.5420 |
AC | 84.78 | 1 | 84.78 | 13.02 | 0.0026 |
AD | 4.94 | 1 | 4.94 | 0.76 | 0.3975 |
BC | 10.35 | 1 | 10.35 | 1.59 | 0.2266 |
BD | 80.87 | 1 | 80.87 | 12.42 | 0.0031 |
CD | 4.85 | 1 | 4.85 | 0.74 | 0.4017 |
A 2 | 22.68 | 1 | 22.68 | 3.48 | 0.0817 |
B 2 | 4.86 | 1 | 4.86 | 0.75 | 0.4015 |
C 2 | 513.20 | 1 | 513.20 | 78.81 | <0.0001 |
D 2 | 81.37 | 1 | 81.37 | 12.49 | 0.0030 |
Residual | 97.68 | 15 | 6.51 | ||
Lock of fit | 86.92 | 10 | 8.69 | 4.04 | 0.0683 |
Pure error | 10.76 | 5 | 2.15 | ||
Cor total | 4333.93 | 29 |
Comment: R2 = 0.9775, Radj2 = 0.9564, Rpred2 = 0.8806, CV = 3.31%, adequate precision = 19.027.