Table 5.

Regression for complexity of molecular structures.

Complexity
Regression model	Molecular descriptor	R 2	F	Sig
Quadratic model	ABC(G)	0.985	226.123	0.000
	RA(G)	0.970	111.645	0.000
	S(G)	0.974	133.007	0.000
	GA(G)	0.979	166.938	0.000
	H(G)	0.964	94.310	0.000
	HM(G)	0.996	811.944	0.000
	F(G)	0.996	808.730	0.000
Cubic model	ABC(G)	0.985	226.123	0.000
	RA(G)	0.970	111.645	0.000
	S(G)	0.974	133.007	0.000
	GA(G)	0.992	245.379	0.000
	H(G)	0.964	94.310	0.000
	HM(G)	0.996	471.366	0.000
	F(G)	0.996	464.684	0.000
Logarithmic model	ABC(G)	0.919	91.217	0.000
	RA(G)	0.886	62.372	0.000
	S(G)	0.889	64.349	0.000
	GA(G)	0.890	64.922	0.000
	H(G)	0.867	52.338	0.000
	HM(G)	0.891	65.343	0.000
	F(G)	0.897	69.945	0.000
Exponential model	ABC(G)	0.924	97.467	0.000
	RA(G)	0.897	70.014	0.000
	S(G)	0.907	78.465	0.000
	GA(G)	0.919	91.290	0.000
	H(G)	0.889	64.375	0.000
	HM(G)	0.969	250.374	0.000
	F(G)	0.968	244.542	0.000