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. 2022 Sep 26;9:966338. doi: 10.3389/fnut.2022.966338

Table 4.

ANOVA analysis for response surface quadratic model for biosurfactant production in terms of surface tension measurement (mN/m).

Source Sum of squares DF Mean square F-Value p-Value
Model 56.54 9 6.28 36.05 < 0.0001 Significant
A-Yeast extract 6.53 1 6.53 37.47 0.0001
B-Inoculum size 7.97 1 7.97 45.77 < 0.0001
C-Fermentation time 20.48 1 20.48 117.52 < 0.0001
AB 3.42 1 3.42 19.62 0.0013
B 0.30 1 0.30 1.72 0.2186
BC 4.16 1 4.16 23.88 0.0006
A2 2.41 1 2.41 13.82 0.0040
B2 0.36 1 0.36 2.06 0.1821
C2 1.03 1 1.03 5.89 0.0356
Residual 1.74 10 0.17
Lack of fit 1.13 5 0.23 1.82 0.2626 Not significant
Pure error 0.62 5 0.12
Cor total 58.28 19
Std. Dev. 0.42 R-squared 0.9701
Mean 44.53 Adj R. squared 0.9432
C.V.% 0.94 Pred R-squared 0.8479
PRESS 8.87 Adeq precision 21.490

Source, A meaningful name for the rows. Sum of Squares, Sum of the squared differences between the overall average and the amount of variation explained by that rows source; DF, Degrees of Freedom: The number of estimated parameters used to compute the source's sum of squares; Mean Square, The sum of squares divided by the degrees of freedom. Also called variance. F Value, Test for comparing the source's mean square to the residual mean square. P-Value, Probability of seeing the observed F-value if the null hypothesis is true (there are no factor effects). Small probability values call for rejection of the null hypothesis. The probability equals the integral under the curve of the F-distribution that lies beyond the observed F-value.