Table 7 OLS regression model results and... | Emerald Publishing

Table 7

OLS regression model results and tests

	Coefficient	Std error	T-statistic	p-value	Sig	VIF
const	0.94055	0.0741494	12.6845	<0.0001	***
Size	−0.0179121	0.0108164	−1.6560	0.0998	*	1.447
General Manager	0.0532565	0.018409	2.8930	0.0044	***	1.093
Chief Executive Officer	0.00907914	0.0156066	0.5817	0.5616		1.037
Chief Health Officer	−0.0128124	0.0170402	−0.7519	0.4533		1.191
Financial performance	−0.0187005	0.0986094	−0.1896	0.8498		1.113
Indebtedness	−0.0821759	0.0421947	−1.9475	0.0534	*	1.113
Research	0.0888927	0.0189914	4.6807	<0.0001	***	1.484
University	0.105473	0.0155842	6.7679	<0.0001	***	1.081
Localisation	−0.0423927	0.0201781	−2.1009	0.0373	**	1.222
Notes(s): The asterisks indicate statistical significance at the following levels: * 10%; 5%; * 1%

	Coefficient	Std error	T-statistic	p-value	Sig	VIF
const	0.94055	0.0741494	12.6845	<0.0001	***
Size	−0.0179121	0.0108164	−1.6560	0.0998	*	1.447
General Manager	0.0532565	0.018409	2.8930	0.0044	***	1.093
Chief Executive Officer	0.00907914	0.0156066	0.5817	0.5616		1.037
Chief Health Officer	−0.0128124	0.0170402	−0.7519	0.4533		1.191
Financial performance	−0.0187005	0.0986094	−0.1896	0.8498		1.113
Indebtedness	−0.0821759	0.0421947	−1.9475	0.0534	*	1.113
Research	0.0888927	0.0189914	4.6807	<0.0001	***	1.484
University	0.105473	0.0155842	6.7679	<0.0001	***	1.081
Localisation	−0.0423927	0.0201781	−2.1009	0.0373	**	1.222
Notes(s): The asterisks indicate statistical significance at the following levels: * 10%; 5%; * 1%

Model specification
Mean dep. variable	0.805839	Std dev. Dep. variable	0.104097
Sum of squared residuals	1.131476	Regression std error	0.087436
R²	0.334932	Adjusted R²	0.294489
F(9, 122)	12.75332	p-value(F)	0.000000
Observations	158
White test: T statistic: LM = 40.9449; p-value = p(χ²(47) > 40.9449) = 0.720382 (no heteroskedasticity)
Lilliefors test: T statistic: 0.053709; p-value = 0.31 (residuals are normally distributed)

Model specification
Mean dep. variable	0.805839	Std dev. Dep. variable	0.104097
Sum of squared residuals	1.131476	Regression std error	0.087436
R²	0.334932	Adjusted R²	0.294489
F(9, 122)	12.75332	p-value(F)	0.000000
Observations	158
White test: T statistic: LM = 40.9449; p-value = p(χ²(47) > 40.9449) = 0.720382 (no heteroskedasticity)
Lilliefors test: T statistic: 0.053709; p-value = 0.31 (residuals are normally distributed)