Table 6.

Regression model results for the two-level factorial design: *, ** and *** indicate model term coefficients are significant at the 5%, 1%, and 0.1% levels, respectively; empty cells indicate that term was excluded from the model by the backward regression procedure

	Model response (time in minutes)
Model term	Clinic closing time	Patient total wait time	Patient wait time for room	Patient time in room	Patient time in clinic
Constant	453.75***	31.28***	9.09***	81.43***	103.10***
Num_AP = 3	−3.75*	−6.77***	−2.33***	−3.67***	−6.18***
Num_Room = 7		−2.30***	−5.81***	3.59***	−2.22***
Num_Patient = 30	72.46***	1.61***	0.40	1.26***	1.67***
Time_Int = 15	68.75***	−15.55***	−8.24***	−7.17***	−15.40***
(Num_AP = 3) × (Num_Room = 7)			0.96*	−0.96*
(Num_AP = 3) × (Num_Patient = 30)
(Num_AP = 3) × (Time_Int = 15)		3.68***	1.78**	1.11*	2.77**
(Num_Room = 7) × (Num_Patient = 30)
(Num_Room = 7) × (Time_Int = 15)		2.13***	4.67***	−2.53***	2.25*
(Num_Patient = 30) × (Time_Int = 15)	5.08*
Adjusted-R2	0.999	0.997	0.986	0.994	0.994