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An intervention term was modelled and found to be non-significant and was therefore removed from the models.
Overfitting of the models was tested using 'dropterm' in R and based on the lowest Akaike information criterion score, no terms were removed from the models.
Non-significant interaction terms were removed from the models.
Note that results were similar when the non-significant interaction term was removed from the models.
Non-significant interactions (p > .1) were removed from the models.
*Variables with P > 0.2 were removed from the models.
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Interactions were not significant at P < 0.1 and were removed from the model.
The plastic wake effect is removed from the model in order to distinguish between both effects.
The model is adjusted as any nonsignificant factor can be removed from the model.
The same scenario was applied with the interaction term removed from the model.
The insignificant coefficients (p-values > 0.05) were removed from the model.
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