

Hello R-team

I´ve got a question concerning the hierarchical partitioning function. If the variables of a model fitted with glm (binomial)show a high joint effect, does this necessarily only mean, that these variables are highly correlated and therefor the model fitting was not optimal, or can it also be, that a high joint contribution means, that the relevant variables only show there full effects on the response Variable in combination with other parameters in the model? 

Many thanks

Christian Jones


	
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