Hi,
I am using logistic regresion to predict a target var type (1,0). One of the vars of my model is a classificarion var.
a_type = ("high", "medium" , "low"), is a prediction var, not the target
I use proc logistics.
I don't know if it is recommended to transform this var in dummy vars like that:
a_type_high = (1,0) a_type_medium = (1,0) a_type_low = (1,0)
I suppose that kind of vars are better for logistic regression, isn't it? If I don't transform the vars, does the proc do the transformation automatically?
Another question I also have several continuos/quantitative vars like sales (0-50), mkt_exp (0-1000) do I have to no a normalization to transform in a var with avg=0 and std = 1?, is that needed?
Thanks
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