Table 4 Classical assumption test No....

Table 4

Classical assumption test

No.	Classical assumption test		Model 1	Model 2	Model 3
1.	Kolmogorov-Smirnov	Asymp. sig.	0.200^*	0.200^*	0.200^*
1.	Kolmogorov-Smirnov	Monte Carlo sig.	0.394	0.367	0.337
2.	Durbin-Watson		1.979	1.987	2.049
3.	Tolerance Value	LogEarn	0.677		0.673
		LogBV	0.663	0.923	0.628
		LogCOMPACC		0.565
		LogCF		0.590
		LogGrowth			0.929
		INDY	0.975	0.975	0.968
4.	VIF	LogEarn	1.477		1.485
		LogBV	1.509	1.083	1.592
		LogCOMPACC		1.770
		LogCF		1.695
		LogGrowth			1.076
		INDY	1.026	1.026	1.033
5.	Glejser Test	LogEarn	0.202		0.834
		LogBV	0.577	0.067	0.918
		LogCOMPACC		0.178
		LogCF		0.087
		LogGrowth			0.720
		INDY	0.240	0.169	0.021

No.	Classical assumption test		Model 1	Model 2	Model 3
1.	Kolmogorov-Smirnov	Asymp. sig.	0.200^*	0.200^*	0.200^*
1.	Kolmogorov-Smirnov	Monte Carlo sig.	0.394	0.367	0.337
2.	Durbin-Watson		1.979	1.987	2.049
3.	Tolerance Value	LogEarn	0.677		0.673
		LogBV	0.663	0.923	0.628
		LogCOMPACC		0.565
		LogCF		0.590
		LogGrowth			0.929
		INDY	0.975	0.975	0.968
4.	VIF	LogEarn	1.477		1.485
		LogBV	1.509	1.083	1.592
		LogCOMPACC		1.770
		LogCF		1.695
		LogGrowth			1.076
		INDY	1.026	1.026	1.033
5.	Glejser Test	LogEarn	0.202		0.834
		LogBV	0.577	0.067	0.918
		LogCOMPACC		0.178
		LogCF		0.087
		LogGrowth			0.720
		INDY	0.240	0.169	0.021

Note(s): ^*0.200 is the maximum value reported by SPSS for asymptotic significance in the Kolmogorov-Smirnov test

Source(s): Authors’ own work

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