Dear friends, some of my students are organizing a data bank with
several qualitative and quantitative variables like fruit color,
dispersion syndrome, fruit length, geographical distribution, type of
leaf morphology, presence of spines, etc., and we would like to test
what variable is more associated with the type of dispersion syndrome.
Probably this is the case for a log linear and/or logistic models
but.... I have in the same analysis qualitative (e.g., fruit color) and
quantitative variables (e. g., fruit size) and I would like to know if
it is possible to analyze the complete data set to test interactions,
etc.!
Any suggestions (please!!!) ?
Thanks..... Voltolini
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