$4\mathrm{.}10$ LAB: Prediction with Logistic Regression

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

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

Obtain user defined values female, age, economy, and delay.

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

Create a new data frame X from the predictor variables Gender$\_$female, Age, Class$\_$Eco, 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$.$

Use the user defined values to predict the probability that a customer with those values is satisfied.

Ex: If the input is $134010$ the ouput is:

$[0\mathrm{.}62343979]$