Table 3.

Optimal regression equation for each response variable.

	Y 10 min⁡	Y 30 min⁡	Y 60 min⁡	Y 90 min⁡
b 1(X 1)	−100.04	922.67	436.82	272.32
b 2(X 2)	−6.45	−21.46	16.45	51.87
b 3(X 3)	7.67	20.39	57.42	82.03
b 12(X 1 X 2)	207.53	−809.95	−250.14	−104.70
b 13(X 1 X 3)	89.44	−1138.72	−633.23	−285.57
b 23(X 2 X 3)	64.65	249.62	251.99	157.24
F	17909.89	499.69	4092.21	264.78
P	0.0057	0.0340	0.0119	0.0466
C.V.	0.52	2.88	0.52	0.88
R 2	1.0000	0.9996	1.0000	0.9992
Adjusted R 2	0.9999	0.9976	0.9997	0.9955