Table 2.

Regression coefficients of the full quadratic models with their statistical significance and model parameters for investigated polyphenols.

Source	FAd		p-CA		3-gluK		EA		Tiliroside
	β	p-Value	β	p-Value	β	p-Value	β	p-Value	β	p-Value
Model		0.0026		0.0055		0.0018		<0.0001		0.0001
Lack of Fit		0.3003		0.4017		0.2095		0.0876		0.0275
β0	72.79		79.61		128.71		261.88		1776.29
X1	2.23	0.0612	5.76	0.0140	23.60	0.0011	19.08	0.0084	340.85	0.0005
X2	−7.29	0.0005	−13.18	0.0004	−35.20	0.0002	−150.04	<0.0001	−791.46	<0.0001
X3	0.97	0.3425	3.06	0.1067	4.50	0.2566	13.88	0.0281	42.31	0.3606
X1X2	0.80	0.5676	4.17	0.1164	3.87	0.4716	−12.41	0.1110	−189.56	0.0244
X1X3	−2.51	0.1147	−0.39	0.8648	−1.18	0.8215	−6.06	0.3880	1.47	0.9813
X2X3	−1.38	0.3405	2.47	0.3123	−0.50	0.9232	−20.17	0.0256	−4.49	0.9428
X12	−6.13	0.0065	−1.80	0.4680	−0.45	0.9335	14.13	0.0880	−111.48	0.1317
X22	−11.24	0.0004	−11.19	0.0045	−34.38	0.0012	−88.90	<0.0001	−666.39	0.0001
X32	−5.07	0.0138	−3.25	0.2145	0.26	0.9614	14.50	0.0819	−91.28	0.2004
R2		0.9704		0.9598		0.9747	0.9963			0.9910
Adjusted R2		0.9172		0.8874		0.9290	0.9895			0.9747
Predicted R2		0.6131		0.5167		0.6450	0.9432			0.8576

FAd—ferulic acid derivative; pCA—p-coumaric acid; 3-gluK—kaempferol 3-glucoside; EA—ellagic acid; p < 0.0001 very highly significant, p < 0.01 very significant, p < 0.05 significant.