Analysis of the Influence of Quantile Regression Model on Mainland Tourists’ Service Satisfaction Performance

Table 2

Analysis results of least square regression model and quantile regression model for overall satisfaction performance.

Regression; variable	OLS			𝑄0.25			𝑄0.5			𝑄0.75
	Coefficient	𝑇 value	Significant	Coefficient	𝑇 value	Significant	Coefficient	𝑇 value	Significant	Coefficient	𝑇 value	Significant
Sex	−0.004	−1.074		−0.0001	−1.77	*	−0.0001	−2.93	***	−0.0001	−1.13
Occupation	0.001	1.004		0.0013	0.43		−0.0025	−0.63		−0.0057	−0.90
Age	−0.002	−0.949		−0.0001	−0.24		−0.0001	−0.08		0.0002	0.19
Tourist attraction	0.001	3.837	***	0.0006	2.64	***	0.0007	2.45	**	0.0008	2.02	**
Food	0.001	6.103	***	0.0015	5.56	***	0.0015	4.18	***	0.0017	4.05	***
Hotel facilities	0.001	2.989	***	0.0012	4.60	***	0.0013	3.46	***	0.0003	0.52
Hotel service attitude	0.002	6.016	***	0.0013	4.86	***	0.0010	2.84	***	0.0019	3.89	***
Night fair culture	0.001	4.552	***	0.0012	5.64	***	0.0009	3.40	***	0.0007	1.91	*
Architectural style	0.001	5.568	***	0.0015	5.44	***	0.0015	4.43	***	0.0016	3.16	***
Weather conditions	0.002	7.091	***	0.0015	5.33	***	0.0019	4.43	***	0.0021	5.39	***
Street cleanliness	0.000	2.167	**	0.0007	2.61	***	0.0007	2.20	**	0.0004	1.11
Pseudo 𝑅^2	0.9670			0.8744			0.8349			0.7985

Note: *is significant at the 10% significance level; **is significant at the 5% significance level; ***is significant at the 1% significance level.