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*For interaction between two variables.
x: interaction between two variables.
*Indicates interaction between two variables.
This illustrates the importance of the scale used when determining whether there is statistical interaction between two variables.
According to the participants "collective power" of nurses or the power of the profession of nursing comes from the interaction between two variables "supportive management" and "unity".
This means that an interaction between two variables may be detected in a natural and non-predetermined way as is the case in standard regression techniques.
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Interactions between two variables were analyzed while keeping the other variable at midpoint.
The 3D plots for interactions between two variables were presented in Figure 3.
Model selection also examined biologically plausible interactions between two variables.
Interactions between two variables can be inferred from a classification tree if a variable systematically makes a split on the other variable more likely or less likely than expected compared to variables without interactions.
The interaction between four variables was studied and modelled.
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