Question: Using the tables below from a logistical regression in SAS, determine the odds of churn based on age and a prediction of the probability of

Using the tables below from a logistical regression in SAS, determine the odds of churn based on age and a prediction of the probability of churn for a 27-year-old?

The LOGISTIC Procedure Model Information Data Set WORKIMPORT Response Variable chum churn Number of Reeponee Levels 2 Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 1000 Number of Observations Used 1000 Reeponee Profile Ordered Total Value chum Frequency 1 1 274 2 728 Probability modeled Is churn= 1"- Model Convergence Statue Convergence criterion (GCONV=18-8) satisfied. Model Fit Statletice Criterion Intercept Only Intercept and Covarlates AIC 1176.394 1110.296 1181.301 1120.111 -2 Log L 1174 394 1108.298 Testing Global Null Hypothesis: BETA=0 Teat Chl-Square DF Pr > Chl$q Likelihood Ratio 86 0981 10001 Score 83.9171 Wald 80.0945 20001 Analyale of Maximum Likelihood Estimates standard Wald Parameter DF Estimate Error Chl-Square Pr > Chl$q Intercept 1.0424 0.2598 16 0912 40001 EDE 1 -010505 0.00852 8010945

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