Table 1.
Source | Sum of Squares | Mean Square | F Value | p-value | significant |
---|---|---|---|---|---|
Model | 9.34 | 1.04 | 197.71 | < 0.0001 | ∗∗∗ |
X 1 | 0.25 | 0.25 | 48.18 | < 0.0001 | ∗∗∗ |
X 2 | 0.031 | 0.031 | 5.99 | 0.0344 | ∗ |
X 3 | 0.34 | 0.34 | 63.80 | < 0.0001 | ∗∗∗ |
X 1 X 2 | 1.42 | 1.42 | 269.92 | < 0.0001 | ∗∗∗ |
X 1 X 3 | 0.49 | 0.49 | 93.95 | < 0.0001 | ∗∗∗ |
X 2 X 3 | 0.050 | 0.050 | 9.47 | 0.0117 | ∗ |
X 1 2 | 2.68 | 2.68 | 510.57 | < 0.0001 | ∗∗∗ |
X 2 2 | 4.69 | 4.69 | 892.45 | < 0.0001 | ∗∗∗ |
X 3 2 | 0.28 | 0.28 | 52.74 | < 0.0001 | ∗∗∗ |
Residual | 0.053 | 5.251E-003 | |||
Lack of Fit | 0.028 | 5.515E-003 | 1.11 | 0.4574 | ⧫ |
Pure Error | 0.025 | 4.987E-003 | |||
Cor Total | 9.40 | ||||
R-Squared | 0.9954 | ||||
Adj R-Squared | 0.9894 | ||||
Pred R-Squared | 0.9454 | ||||
Adeq Precision | 34.815 |
∗, ∗∗, and ∗∗∗ represent p<0.05, p<0.01, and p<0.0001, respectively.
⧫ represents “not significant”