Statistical interactions can be challenging to understand and interpret. This simple example illustrates a regression model with an interaction effect. First I generate some fake data, which allows us to know the underlying structure of the data. Let y be some generic response variable (e.g., weight). Corresponding to each y is a sex variable (M/F)…
Brief example of interaction effects in regression
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