import $...........$

import $............$

from statsmode$1$s$.$tools import $............$

import numpy

female $={\displaystyle \underset{\phantom{}}{\overset{\phantom{}}{}}}(dotsdotsdotsdots)$

economy $=........$

delay $=..........$

flights $=$ pd$.$read$\_$csv$("...........")$

flights.dropna$(..............)$

flights $=$ pd$.$get$\_$dummies$($fiights$,$ columns$=[\text{'}$satisfaction$\text{'},.........$

$x=$ pd$.$concat $([$flights$.$Gender$\_$Female, flights.Age, $............)$

$x=$ add$\_$constant.

$Y=$ flights.

mode$1=sm*GLM(Y,x,$dotsdotsdots$)*fit()$

ex $=$ np$.$array

prediction $=$dotsdotsdotsdots.

print $(................$