Table 8 Regression analysis Model... | Emerald Publishing

Table 8

Regression analysis

Model summary^b
R	R-square	Adjusted R-square	Std. error of the estimate	Change statistics					Durbin–Watson
R	R-square	Adjusted R-square	Std. error of the estimate	R-square change	F change	df1	df2	Sig. F change	Durbin–Watson
0.453	0.205	0.197	0.351	0.205	24.300	4	377	0.000	1.006

ANOVA^a
	Sum of squares	df	Mean square	F	Sig.
Regression	11.977	4	2.994	24.300	0.000
Total	46.453	377	0.123
Residual	58.429	381

Coefficients^a
	Unstandardised coefficients		Standardised coefficients	t	Sig.	95.0% confidence interval for B
	B	Std. error	Beta	t	Sig.	Lower bound	Upper bound
(Constant)	0.629	0.057		11.050	0.000	0.517	0.741
Provide job security	0.064	0.018	0.181	3.601	0.000	0.029	0.100
Provide career progression	−0.128	0.018	−0.409	−7.218	0.000	−0.163	−0.093
Provide training opportunities	0.084	0.016	0.294	5.203	0.000	0.052	0.116
Employee turnover	0.049	0.014	0.172	3.587	0.000	0.022	0.077

Coefficients^a
	Unstandardised coefficients		Standardised coefficients	t	Sig.	95.0% confidence interval for B
	B	Std. error	Beta	t	Sig.	Lower bound	Upper bound
(Constant)	0.629	0.057		11.050	0.000	0.517	0.741
Provide job security	0.064	0.018	0.181	3.601	0.000	0.029	0.100
Provide career progression	−0.128	0.018	−0.409	−7.218	0.000	−0.163	−0.093
Provide training opportunities	0.084	0.016	0.294	5.203	0.000	0.052	0.116
Employee turnover	0.049	0.014	0.172	3.587	0.000	0.022	0.077

Source(s): Author's computation, 2020