Table 2.
Variance analysis of the regression model
| Response value | Y1 alcohol content | Y2 sensory evaluation | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Item | Sum of squares | Degree of freedom | Mean square | F value | P value | Sum of squares | Degree of freedom | Mean square | F value | P value |
| Model | 22.81 | 14 | 1.63 | 35.94** | < 0.0001 | 834.55 | 14 | 59.61 | 47.83** | < 0.0001 |
| Residual | 0.63 | 14 | 0.05 | 11.00 | 1 | 1.25 | ||||
| Lack of fit | 0.59 | 10 | 0.06 | 5.95 | 0.0502 | 7.00 | 10 | 1.23 | 0.94 | 0.5755 |
| Pure error | 0.01 | 4 | 0.0001 | 4.00 | 4 | 1.30 | ||||
| R2 | 0.9729 | 0.9459 | ||||||||
Significant levels; *means significant difference (p < 0.05), **means extremely significant difference (p < 0.01)