Measurement of International Roughness Index by Using 𝑍-Axis Accelerometers and GPS

Table 4

Results of multivariate linear fitting using SPSS.

(a) Model Summary

Model	𝑅	𝑅 Square	Adjusted 𝑅 Square	Std. error of the estimate	Change statistics
					𝑅 square change	𝐹 change	df1	df2	Sig. 𝐹 change
1	.971^a	.942	.936	.3869706	.942	139.067	2	17	.000

aPredictors: (constant), right, left.

(b) ANOVA^b

	Sum of squares	df	Mean square	𝐹	Sig.
1
Regression	41.650	2	20.825	139.067	.000^a
Residual	2.546	17	.150
Total	44.195	19

aPredictors: (constant), right, left.
^bDependent variable: iri.

(c) Coefficients^a

Model	Unstandardized Coefficients		Standardized; coefficients	𝑡	Sig.
	𝐵	Std. error	Beta
1
(Constant)	−3.442	.495		−6.948	.000
left	.782	.318	.405	2.456	.025
right	1.300	.369	.581	3.524	.003

aDependent variable: iri.