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. 2018 Mar 23;27(4):1093–1102. doi: 10.1007/s10068-018-0350-0

Table 2.

Analysis of variance and regression coefficients of predicted quadratic polynomial models with the ultrasonic-assisted extraction conditions on the soluble phenolic content from J. spicigera leaf extracts

Source1 Analysis of variance Regression coefficients
SS2 DF3 MS4 F Value Soluble phenolic content β–coefficient
Mean/intercept − 31.489*
X1 17.15 1 17.15 38.18* 179.609*
X12 365.93 1 365.93 601.34* − 136.002*
X2 22.42 1 22.42 36.84* 0.134**
X22 178.99 1 178.99 294.12* 0.001**
X3 147.02 1 147.02 241.60* 2.039*
X32 25.64 1 25.64 42.14* − 0.061*
X1 * X22 8.90 1 8.90 14.63* − 0.007*
X12 * X2 29.918 1 29.91 49.16* 0.618*
X1 * X3 64.57 1 64.57 106.11* − 7.320*
X12 * X3 20.66 1 20.66 33.95* 4.124*
X2 * X3 72.52 1 72.52 119.17* 0.016*
Lack of Fit 4.15 1 4.15 6.83**
Pure Error 19.47 32 0.608
R-square 0.978
R-Adjust 0.969
Total SS 1015.92

1Pulses cycle (XPC); Sonication Amplitude (XSA) and Extraction Time (XET)

2SS, sum of square

3DF, degree of freedom

4MS, means square

*Significant (p < 0.01); **nonsignificant (p > 0.01)