Table 2.
Statistical analysis of the results (two-way ANOVA) to test the influence of temperature and water stress (independent variables) on the amount of diterpene in the leaves (dependent variable).
| D1 | Type III Sum of Squares | df | Mean Square | F | Sig. |
| Corrected Model | 51659.677 a | 3 | 17219.892 | 3.756 | 0.025 |
| Intercept | 632425.504 | 1 | 632425.504 | 137.955 | 0.000 |
| Temperature | 31066.47 | 1 | 31066.47 | 6.777 | 0.016 |
| Stress | 20447.496 | 1 | 20447.496 | 4.46 | 0.046 |
| Temperature * Stress | 440.874 | 1 | 440.874 | 0.096 | 0.759 |
| a: R Squared = 329 (Adjusted R Squared = 241); *: Interaction between the two variables. | |||||
| D2 | Type III Sum of Squares | df | Mean Square | F | Sig. |
| Corrected Model | 47756.165 a | 3 | 15918.722 | 7.45 | 0.001 |
| Intercept | 523104.439 | 1 | 523104.439 | 244.799 | 0.000 |
| Temperature | 33921.278 | 1 | 33921.278 | 15.874 | 0.001 |
| Stress | 13645.168 | 1 | 13645.168 | 6.386 | 0.019 |
| Temperature * Stress | 155.981 | 1 | 155.981 | 0.073 | 0.789 |
| a: R Squared = 493 (Adjusted R Squared = 427); *: Interaction between the two variables. | |||||
| D3 | Type III Sum of Squares | df | Mean Square | F | Sig. |
| Corrected Model | 47555.955 a | 3 | 15851.985 | 9.31 | 0.000 |
| Intercept | 383756.337 | 1 | 383756.337 | 225.394 | 0.000 |
| Temperature | 45822.766 | 1 | 45822.766 | 26.913 | 0.000 |
| Stress | 8.728 | 1 | 8.728 | 0.005 | 0.944 |
| Temperature * Stress | 2.305 | 1 | 2.305 | 0.001 | 0.971 |
| a: R Squared = 548 (Adjusted R Squared = 490); *: Interaction between the two variables. | |||||