Hello,
I'd like to say that it's clear when an independent variable can be ruled
out generally speaking; on the other hand in R's AIC with bbmle, if one
finds a better AIC value for a model without the given independent variable,
versus the same model with, can we say that the independent variable is not
likely to be significant(in the ordinary sense!)?
That is, having made a lot of models from a data set, then the best two are
say 78.2 and 79.3 without and with (a second independent variable
respectively) should we say it's better to judge the influence of the 2nd IV
as insignificant?
regards,
-shfets
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