the summary() of a model.avg made with MuMIn in R, give a lot of interesting results, in particular model averaged coefficients (estimate, standard error, adjusted standard error and a z value with a relative P value). My question is, which kind of test has been done to obtain this P value and in particular what is the relation between the variables turning out to be significant from this test and the relative variable importance obtained from the model average?

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