Establishment of a Shear Strength Prediction Model for Asphalt Mixtures with Raw Materials Properties and Design Parameters

Table 5

ANOVA results with the test data.

Dependent variable: shear strength
Sources	df	Square of the average	F	Sig.
Modified model	101	0.273	70.408	0.000
Intercept	1	77.693	20058.881	0.000
Aggregate surface energy	1	0.043	11.136	0.001
Asphalt-aggregate ratio	8	0.377	97.408	0.000
Rotating times	3	1.317	339.961	0.000
Jnr3.2	1	4.389	1133.090	0.000
GI	3	0.205	52.925	0.000
Aggregate surface energycompaction number	2	0.056	14.500	0.000
Aggregate surface energyJnr3.2	1	0.018	4.550	0.034
Aggregate surface energyGI	2	0.045	11.550	0.000
Asphalt-aggregate ratiocompaction number	16	0.009	2.381	0.003
Asphalt-aggregate ratioGI	16	0.016	4.137	0.000
Compaction numberJnr3.2	3	0.020	5.254	0.002
Compaction numberGI	9	0.019	4.989	0.000
Jnr3.2GI	3	0.007	1.762	0.156
Error	201	0.004
Total	303
Corrected total	302
a. R square = 0.973 (square of adjusted R = 0.959)