[1] SAS code to extract data
[2] Successful Extraction of Data via SAS Log
[3] Telco Churn Dataset extraction output
[4] Character Data Format Indicated
[5] SAS code for the frequency distribution of predicted variable Churn
[6] Frequency Table for Churn
[7] Histogram of Churn Distribution
[8] SAS Code to Split Data
[10] Training Data Split
[11] Validation Data Set
[12] SAS Code for Distribution of Churn before and after the data partition
[13] PROC FREQ Churn Distribution
[14] Statistical Identity of Data
[15] Variable Formats
[16] Statistical Identity
[17] SAS code to check for Redundant Data
[18] Cleaned Data Set
[19] Duplicates Data Set
[20] SAS Code to check Duplicates
[21] SAS code to check to Impute Missing Values Indicators
[22] New Imputed Values with Missing Indicators
[23] Imputed Dataset
[24] Output Data Set with Missing Values
[25] Distribution of Variable Churn based on Gender
[26] SAS code for Distribution of Tenure
[27] Distribution of Variable Tenure
[28] Distribution of Variable TotalCharges
[29] Distribution of Churn
[30] Distribution of Gender
[31] Distribution of MultipleLines
[32] Distribution of InternetService
[33] Distribution of OnlineSecurity
[34] Distribution of OnlineBackUp
[35] Distribution of TechSupport
[36] Distribution of StreamingTV
[37] Distribution of StreamingMovies
[38] Distribution of Contract
[39] Distribution of PaperlessBilling
[40] Distribution of Dependents
[41] Distribution of PaymentMethod
[42] SAS code for Churn vs Gender & Bivariate Statistics for Churn vs Gender
[43] Bivariate Statistics for Churn vs MultipleLines
[44] Churn vs InternetService
[45] SAS code to generate Bivariate Statistics for Chun vs OnlineSecurity
[46] Churn vs OnlineSecurity
[47] Churn vs OnlineBackup
[48] SAS code to generate Bivariate Statistics for Churn vs TechSupport
[49] SAS code to generate Bivariate Statistics for Churn vs StreamingTV
[50] SAS code to generate Bivariate Statistics for Churn vs StreamingMovies
[51] SAS code to generate Bivariate Statistics for Churn vs Contract
[52] SAS code to generate Bivariate Statistics for Churn vs Dependents
[53] SAS code to generate Bivariate Statistics for Churn vs PaymentMethod
[54] SAS code and Boxplot for TotalCharges
[55] SAS code for Scatterplot for Total Charges
[56] TotalCharges and MonthlyCharges Scatterplot
[57] SAS code for Churn vs Tenure & Churn by Tenure via Gender and SeniorCitizen
[58] SAS code for Multiple Principle Correspondence Analysis
[59] Proc Corresp Procedure
[60] Multiple Correspondence Analysis Contingency Table
[61] Summary Statistics
[62] MCA Scatter Plot
[63] SAS code for Dendrogram
[64] Dendrogram
[65] Tree Procedure Oblique Principle Component Clustering
[66] MCA clustering Summary
[67] SAS Code for Logistic Regression Model
[68] Training Logistic Regression Model
[69] Model Convergence Summary
[70] Significant Variables/Type 3 Analysis of Effects
[71] Analysis of Maximum Likelihood Estimates
[72] C-Statistic/Odds Ratio Estimates and Profile-Likelihood Confidence Intervals
[73] Odds Ratios with 95% Confidence Limits
[74] ROC Curves
[75] Influence and Leverage Diagnostics/Predicted Probability Diagnostics
[76] Predicted Probability of Churn Models 1 through 8
[77] Final Selected Variables for Model
[78] Variables removed from Model
[79] AIC Criterion and Fit Statistics
[80] Predicted 903 customers Churn
[81] Descriptive Statistics of Predicted Churn
[82] OutMod dataset
[83] SAS code to test the Logistic Regression Model
[84] SAS code to test the Logistic Regression Model
[85] Histogram of Predicted Churn Distribution
[86] Frequency of Churn
[87] SAS code to bin Churned Customers
[88] Binned Predicted Churned Customers
[89] Histogram and QQ-Plot of Predicted Churned Customers
[90] ROC Curves
[91] Predicted Churn Confusion Matrix
[92] Variable Interactions
[93] Significant Variables
[94] Odds Ratio Plot/Significant and Non-Significant Variables
[95] Most Significant Variable InternetService
[96] Interaction Plots