Lift &Decile Chart A cruise company wants to know which factors influence an individual's interest to go for a cruise vacation.It conducted a survey of sixteen people chosen randomly.The survey asked the participants about their annual income(in$000),age(in years),and whether they had ever been in a cruise(1-Yes,0-No).A logistic regression was developed to predictCruisewithIncomeandAge. The model generated the probability of belonging to the positive class(Class1)based on the individual's income and age. _____________________________________________________________ Suppose you have access to a bigger sample (say,1000)of this dataset.a)Explain clearly how a lift chart and a decile chart for this dataset can be constructed.b) Discuss the use and potential advantages of such charts.

Survey Data Person Income Age Cruise 1 93 60 1 Regression Coefficients 87 61 3 67 85 Predictor Estimate 4 86 75 Intercept -14.14 5 81 55 O Income 0.02 60 73 Age 0.20 75 63 8 62 47 O 90 61 10 56 70 O 11 60 45 O 12 69 20 13 65 27 14 60 40 O 15 55 37 O 16 40 65