Table 2. Analysis of Variance of Optimization Models When Polyphenol Content Is Maximized Using Different Solventsa.
solvent | source | sum of squares | df | mean square | F value | p value (prob > F) |
---|---|---|---|---|---|---|
aqueous ethanol | model | 286.97 | 7 | 41 | 12.92 | <0.0001 |
S.D. | 1.78 | R2 | 0.8189 | |||
mean | 14.36 | |||||
CV % | 12.41 | |||||
aqueous acetone | model | 78.17 | 4 | 19.54 | 4.76 | 0.0061 |
S.D. | 2.03 | R2 | 0.4527 | |||
mean | 10.45 | |||||
CV % | 19.4 | |||||
aqueous NaOH | model | 288.31 | 10 | 28.83 | 2.81 | 0.0296 |
S.D. | 3.21 | R2 | 0.6227 | |||
mean | 24.5 | |||||
CV % | 13.08 | |||||
water | model | 2.22 | 6 | 0.37 | 5.42 | 0.0078 |
S.D. | 0.26 | R2 | 0.7474 | |||
mean | 9.04 | |||||
CV % | 2.88 |
S.D.: standard deviation; CV %: coefficient of variance; F value: Fisher’s statistical value; p value: probability value; df: degree of freedom.