Table 3.

Regression coefficients of the reduced 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		0.0002		0.0001		<0.0001		<0.0001		<0.0001
Lack of Fit		0.3598		0.4685		0.8357		0.0560		0.0842
β0	72.79		76.72		128.60		278.25		7.46
X1	2.23	0.0411	5.76	0.0046	23.60	<0.0001	19.08	0.0160	0.28	<0.0001
X2	−7.29	0.0001	−13.18	<0.0001	−35.20	<0.0001	−150.04	<0.0001	−1.06	<0.0001
X3	0.97	0.3121	3.06	0.0779			13.88	0.0597	0.05	0.0106
X1X2			4.17	0.0870
X1X3	−2.51	0.0878
X2X3							−20.17	0.0543	0.04	0.0807
X12	−6.13	0.0023							−0.13	0.0004
X22	−11.24	0.0001	−10.83	0.0010	−34.37	<0.0001	−90.94	<0.0001	−0.98	<0.0001
X32	−5.07	0.0052
R2		0.9617		0.9294		0.9629	0.9864			0.9989
Adjusted R2		0.9233		0.8902		0.9528	0.9788			0.9981
Predicted R2		0.8479		0.8044		0.9305	0.9611			0.9943

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; * results after additional transformation (ln (Y)).