Table 11 The QSPR model of GA(G) utilized statistical parameters.
Properties | N | A | B | C | r | r\(^{2}\) | F(>2.5) | P(\(\le\)0.05) | Indicator |
|---|---|---|---|---|---|---|---|---|---|
Linear regression model | |||||||||
\(\mathcal{B}\mathcal{P}\) | 16 | 138.9602 | 14.854 | - | 0.8906 | 0.7931 | 53.6651 | 0.0000 | Significant |
\(\mathcal{E}\mathcal{V}\) | 16 | 35.7787 | 1.7853 | - | 0.8659 | 0.7497 | 41.9428 | 0.0000 | Significant |
\(\mathcal{F}\mathcal{P}\) | 16 | 39.8867 | 8.9204 | - | 0.8884 | 0.7892 | 52.4001 | 0.0000 | Significant |
\(\mathcal{I}\mathcal{R}\) | 16 | 1.4586 | 0.00427 | - | 0.6877 | 0.473 | 12.5634 | 0.0032 | Significant |
Quadratic regression model | |||||||||
\(\mathcal{B}\mathcal{P}\) | 16 | −125.5436 | 41.393 | −0.5762 | 0.9408 | 0.8852 | 50.1069 | 0.0000 | Significant |
\(\mathcal{E}\mathcal{V}\) | 16 | 2.8184 | 5.0924 | −0.0718 | 0.9183 | 0.8433 | 34.9822 | 0.0000 | Significant |
\(\mathcal{F}\mathcal{P}\) | 16 | −122.0911 | 25.1725 | −0.3528 | 0.9404 | 0.8844 | 49.7393 | 0.0000 | Significant |
\(\mathcal{I}\mathcal{R}\) | 16 | 1.3278 | 0.0174 | −0.0003 | 0.7970 | 0.6353 | 11.3243 | 0.0014 | Significant |
