Table 3 The QSPR model of M\(_{1}\)(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 | 160.267 | 2.8813 | - | 0.8837 | 0.7809 | 49.9092 | 0.0000 | Significant |
\(\mathcal{E}\mathcal{V}\) | 16 | 38.4867 | 0.345 | - | 0.856 | 0.7327 | 38.3721 | 0.0000 | Significant |
\(\mathcal{F}\mathcal{P}\) | 16 | 52.6224 | 1.7309 | - | 0.8818 | 0.7775 | 48.9319 | 0.0000 | Significant |
\(\mathcal{I}\mathcal{R}\) | 16 | 1.4663 | 0.0008141 | - | 0.6707 | 0.4498 | 11.4454 | 0.0045 | Significant |
Quadratic regression model | |||||||||
\(\mathcal{B}\mathcal{P}\) | 16 | −71.9402 | 7.785 | −0.0220 | 0.9359 | 0.876 | 45.9274 | 0.0000 | Significant |
\(\mathcal{E}\mathcal{V}\) | 16 | 8.9052 | 0.9697 | −0.0028 | 0.9131 | 0.8337 | 32.5761 | 0.0000 | Significant |
\(\mathcal{F}\mathcal{P}\) | 16 | −89.8173 | 4.7389 | −0.0135 | 0.9361 | 0.8762 | 46.0228 | 0.0000 | Significant |
\(\mathcal{I}\mathcal{R}\) | 16 | 1.3473 | 0.0033 | 0.0000 | 0.7937 | 0.63 | 11.0656 | 0.0016 | Significant |
