Table 12.

User satisfaction linear regression analysis

Robust
	Coef	Std.Err	t	P >|t|	[95% Conf.Interval]
area_growth	0.026	0.060	0.430	0.664	− 0.093	0.145
female	0.039	0.045	0.880	0.380	− 0.049	0.127
age29_39	0.101	0.062	1.640	0.102	− 0.020	0.223
age40_50	0.189***	0.065	2.890	0.004	0.060	0.318
age50plus	0.115	0.072	1.590	0.114	− 0.028	0.258
University	− 0.015	0.039	− 0.390	0.694	− 0.093	0.062
non_single	-0.045	0.054	-0.820	0.414	-0.152	0.063
non_urban	0.004	0.075	0.060	0.955	-0.143	0.151
working	-0.007	0.048	-0.150	0.881	-0.101	0.087
price_reasonable	0.125***	0.046	2.710	0.007	0.034	0.215
mistakes	-0.122**	0.050	-2.460	0.014	-0.220	-0.024
serviced	0.320***	0.055	5.860	0.000	0.212	0.427
whatmore_design	-0.050	0.061	-0.810	0.419	-0.171	0.071
whatmore_space	-0.082	0.053	-1.550	0.122	-0.186	0.022
_cons	0.552***	0.096	5.730	0.000	0.362	0.742
Number of obs = 266
F (14, 251) = 5.32
Prob > F = 0.0000
R-squared = 0.3193
Root MSE = .3036

Highlighted results that are significant in the analysis and discussion indicated in bold

Asterisks *, ** and *** denote statistical significance at 10%, 5% and 1%