continuous predictor

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A linear regression with response (deictic-anticipatory) and object order as a continuouspredictor confirmed this effect (p=0.007).
A linear regression with response (deictic-anticipatory) and age in days as a continuouspredictor confirmed this effect (p<0.01).
Continuouspredictor variables were trichotomized by categorizing participants as close as possible to the lower 25%, the middle 50%, and the upper 25% of the distribution.
Univariate plots for all continuouspredictor variables were used to assess for linearity.
In this and all subsequent regression analyses, continuous predictors were centered.
In term of its linearity, a number of mathematical transformations of the continuous predictors did not strengthen the overall fit of the model.
This is a linear function of continuous predictors.
The continuous predictors were mean centered.
With continuous predictors, the model can infer values for the zero cell counts, but this is not the case with categorical predictors.
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