Table V. Hierarchical regression... | Emerald Publishing

Table V.

Hierarchical regression

Independent variables	Hotel performance
	Model 1		Model 2		Model 3		Model 4
	B	T	B	T	B	T	B	T
Step 1
Constant	0.52	2.35**	2.97	16.36*	3.93	16.88*	3.95	17.02*
Competitor intensity	0.17	3.16*	0.066	2.06**	−0.051	−1.45	−0.06	−1.60
Market turbulence	0.42	7.94*	0.10	2.86**	0.026	0.74	0.018	0.52
Hotel rating	0.25	6.78*	0.05	2.29**	0.006	0.26	0.009	0.36
Step 2
Add Market orientation (MO)			0.97	19.48*	0.65	9.54*	0.66	9.68*
Step 3
Add: Positioning (P)					0.56	6.15*	0.59	6.38*
Step 4
Add MO × P							0.094	1.76***
R²	0.543		0.840		0.865		0.867
Δ R²	0000		0.297		0.025		0.002
F	81.53		268.37		260.88		220.15
df.	101		100		99		98
P	0.000		0.000		0.000		0.000

Independent variables	Hotel performance
	Model 1		Model 2		Model 3		Model 4
	B	T	B	T	B	T	B	T
Step 1
Constant	0.52	2.35**	2.97	16.36*	3.93	16.88*	3.95	17.02*
Competitor intensity	0.17	3.16*	0.066	2.06**	−0.051	−1.45	−0.06	−1.60
Market turbulence	0.42	7.94*	0.10	2.86**	0.026	0.74	0.018	0.52
Hotel rating	0.25	6.78*	0.05	2.29**	0.006	0.26	0.009	0.36
Step 2
Add Market orientation (MO)			0.97	19.48*	0.65	9.54*	0.66	9.68*
Step 3
Add: Positioning (P)					0.56	6.15*	0.59	6.38*
Step 4
Add MO × P							0.094	1.76***
R²	0.543		0.840		0.865		0.867
Δ R²	0000		0.297		0.025		0.002
F	81.53		268.37		260.88		220.15
df.	101		100		99		98
P	0.000		0.000		0.000		0.000

Notes:

*p < 0.01; **p < 0.05; ***p < 0.1