Please answer the question in python according to the template so the format matches exactly please.

The file Invistico$\_$Airline$\_$LR$.$csv contains information from an airline using the alias Invistico Airline on customer satisfaction, as well as

details on each customer. The columns of interest are Gender, Age, Class, Flight$\_$Distance, Departure$\_$Delay$\_$in$\_$Minutes,

Arrival$\_$Delay$\_$in$\_$Minutes, and satisfaction.

Read the file Invistico$\_$Airline$\_$LR$.$csv into a data frame.

Re$-$code the categorical variables Gender, Class, and satisfaction in to dummy variables.

Create a new data frame X from the predictor variables Gender$\_$female, Age, Class$\_$Eco, Flight$\_$Distance, Departure$\_$Delay$\_$in$\_$Minutes,

and Arrival$\_$Delay$\_$in$\_$Minutes, in that order.

Create a response variable $Y$ from the dummy variable satisfaction$\_$satisfied.

Perform logistic regression on $x$ and $Y.$

Print the parameters of the logistic regression model.

Ex: If only the variables Gender$\_$female, Age, Class$\_$Eco, Flight$\_$Distance, and Departure$\_$Delay$\_$in$\_$Minutes are used as predictors, the output

is:

const $-1\mathrm{.}681250$

Gender$\_$Female $2\mathrm{.}868598$

Age $0\mathrm{.}000368$

Class$\_$Eco $0\mathrm{.}350065$

Flight$\_$Distance $-0\mathrm{.}000354$

Departure$\_$Delay$\_$in$\_$Minutes $-0\mathrm{.}009452$

dtype: float$64$