Table 6 Regression analysis: F T i = β 0...

Table 6

Regression analysis: ${F T}_{i} = β_{0} + β_{1} {E I}_{i} + β_{2} {G E N}_{i} + β_{3} {A I}_{i} + β_{4} {R E L}_{i} + β_{5} {I N C}_{i} + ε_{i}$

Model summary
Model	R	R square	Adjusted R square	Std. Error of the estimate	Durbin–Watson
1	0.380	0.144	0.125	1.02163	2.000

Model summary
1	0.380	0.144	0.125	1.02163	2.000

Coefficients
Model		Unstandardized coefficients		Standardized coefficients		Sig	Collinearity statistics
Model		B	Std. Error	Beta	t	Sig	Tolerance	VIF
1	(Constant)	−0.229	0.859		−0.267	0.790
	EI	0.814	0.157	0.328**	5.192**	0.000	0.979	1.022
	GEN	0.093	0.147	0.040	0.636	0.525	0.973	1.028
	AI	0.264	0.090	0.185**	2.932**	0.004	0.980	1.021
	REL	−0.010	0.116	−0.005	−0.083	0.934	0.979	1.022
	INC	−0.035	0.070	−0.032	−0.500	0.617	0.980	1.020
							Average VIF	= 1.023

Coefficients
Model		Unstandardized coefficients		Standardized coefficients		Sig	Collinearity statistics
Model		B	Std. Error	Beta	t	Sig	Tolerance	VIF
1	(Constant)	−0.229	0.859		−0.267	0.790
	EI	0.814	0.157	0.328**	5.192**	0.000	0.979	1.022
	GEN	0.093	0.147	0.040	0.636	0.525	0.973	1.028
	AI	0.264	0.090	0.185**	2.932**	0.004	0.980	1.021
	REL	−0.010	0.116	−0.005	−0.083	0.934	0.979	1.022
	INC	−0.035	0.070	−0.032	−0.500	0.617	0.980	1.020
							Average VIF	= 1.023

Note(s): a. Dependent Variable: FT; **significant at 0.01. Number of observations = 225

Source(s): Author's computation (2023) from SPSS version 25

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