Table 4 The QSPR model of M\(_{2}\)(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 | 195.8964 | 2.2579 | - | 0.867 | 0.7516 | 42.368 | 0.0000 | Significant |
\(\mathcal{E}\mathcal{V}\) | 16 | 42.891 | 0.2693 | - | 0.8364 | 0.6995 | 32.5964 | 0.0000 | Significant |
\(\mathcal{F}\mathcal{P}\) | 16 | 74.1823 | 1.3551 | - | 0.8643 | 0.747 | 41.3373 | 0.0000 | Significant |
\(\mathcal{I}\mathcal{R}\) | 16 | 1.4752 | 0.0006473 | - | 0.6676 | 0.4457 | 11.2584 | 0.0047 | Significant |
Quadratic regression model | |||||||||
\(\mathcal{B}\mathcal{P}\) | 16 | −4.708 | 6.0844 | −0.0150 | 0.9236 | 0.853 | 37.7237 | 0.0000 | Significant |
\(\mathcal{E}\mathcal{V}\) | 16 | 16.9859 | 0.7634 | −0.0019 | 0.9001 | 0.8102 | 27.7447 | 0.0000 | Significant |
\(\mathcal{F}\mathcal{P}\) | 16 | −48.0778 | 3.6873 | −0.0091 | 0.9224 | 0.8509 | 37.0974 | 0.0000 | Significant |
\(\mathcal{I}\mathcal{R}\) | 16 | 1.3698 | 0.0027 | 0.0000 | 0.8049 | 0.6479 | 11.9593 | 0.0011 | Significant |