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Two factors interaction (2FI) model has been suggested for SR.
The interaction graphs were used to show how the factors' interaction levels vary and their effects on response variable.
Hence for the future research subjective norms should be taken as the central factor that not only affects intention process but also controls other factors interaction.
Using analysis of variance, quadratic model is found significant for MR while two factors interaction (2FI) model has been suggested for SR.
The large variation in phenol uptake by convectional and Taguchi method occurs due to the factors interaction involvement in Taguchi method (Table 6).
Using analysis of variance (ANOVA), quadratic model is found significant for MR while two factors interaction (2FI) model has been suggested for SR.
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On top of these factors, interactions leading to different genetic outcomes occur between the mother's genes and perinatal genes and the genes within the fetus's genome.
Since different interaction forms among TFs and RNAP will lead to different regulation factors, Interaction-Identifier method conducts these first three steps for all interaction forms between TFs and promoters.
We checked for confounding factors, interactions and colinearity among the independent variables.
The pairwise factors' interactions and the interaction between the three factors also showed significant effects on the PPV values.
A General Linear Model approach was used to analyze the "between-factor" × "within-factors" interaction effect.
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