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From the equation, interaction between two factors was also found.
Parallel lines indicate that there is no interaction between two factors.
The effect of the interaction between two factors is denoted as AxB.
Most importantly, OFAT technique fails to illustrate the interdependent interaction between two factors.
An interaction between two factors (a two-way interaction) is present if the effects of the factors are not independent.
Figure 9 illustrates interaction between two factors: voltage and distance, on the abundance of nanofibers' production with needleless electrospinning.
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Interactions between two factors have significant effects on several of the measured responses.
λ Interactions between two factors.
Interactions between two factors could appear as an antagonistic effect (negative coefficient) or a synergistic effect (positive coefficient).
We also performed homogeneity test and logistic regression analysis to estimate and compare the risks between the strata and interactions between two factors, respectively.
Statistical significance for interactions between two factors was tested using the likelihood ratio test comparing a model with the cross-product term to one without.
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