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4 . 1 0 LAB: Prediction with Logistic Regression The file Invistico _ Airline _ LR . csv contains information from an airline using the
LAB: Prediction with Logistic Regression
The file InvisticoAirlineLRcsv 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, ArrivalDelayinMinutes, and satisfaction.
Read the file InvisticoAirlineLRcsv into a data frame.
Obtain user defined values female, age, economy, and delay.
Recode the categorical variables Gender, Class, and satisfaction into dummy variables.
Create a new data frame X from the predictor variables Genderfemale, Age, ClassEco, and ArrivalDelayinMinutes, in that order.
Create a response variable Y from the dummy variable satisfactionsatisfied.
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 the ouput is:
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