Prediction of California Bearing Ratio of Granular Soil by Multivariate Regression and Gene Expression Programming

Table 6

Multilinear regression analysis significant models.

Model id	Parameters	Model	R ^2	DW
MLR 1	Ln (Gr), Ln (F200) and Ln (S)		0.753	1.84738
MLR 2	Ln (Gr), Ln (F200), Ln (S), PL, LL, MDD and OMC		0.811	1.80383
MLR 3	Gr, F200, and S	CBR=−1039 + 12.2Gr+ 7.6F200+ 11.4S	0.740	1.82060
MLR 4	MDD and OMC	CBR=−1571 + 717MDD + 14.84OMC	0.610	1.84245
MLR 5	Gr, F200, S, PL, LL, MDD and OMC	CBR =−1483 + 9.5Gr+ 6.2F200+ 8.9S+ 4.26LL− 5.97PL+ 289MDD+ 8.92OMC	0.792	1.62133
MLR 6	Gr, F200, S, MDD and OMC	CBR=−1588 + 10.5Gr + 6.5 F200+ 10.0S + 294MDD + 9.25OMC	0.775	1.67606
MLR 7	Ln (Gr), Ln (F200), Ln (S), MDD, and OMC		0.790	1.78415

Significance whereas .