p-value for logistic regression

#1
How do I find the p-value for logistic regression. For example , for a glm output I :

z -value : 1.32 P ( > | Z | ) = 0.186696

If it were a normal regression would do : 2 ( 1 - P ( < | Z | ) = 2 (1-0.4066) = ???

The t-value = Estimate/ Std.Error...but P(>|t|) i don't understand.
 

Dason

Ambassador to the humans
#2
The p-value is .186696. That is already giving you the p-value for the two sided test.

If you did what you're suggesting for the output for the normal regression you're going to get something that is 1) wrong and 2) nonsensical (you can't have a p-value greater than 1).
 
#3
I understand it's STUPID BUT I WANT TO UNDERSTAND how to calculate it.

In some exercise it's proposed the output in this way:


Estimate Std.Error z value Pr(>|Z|)

X 0.28143 0.21314 1.320 ???