Predictive Modelling Assignment

Assignment Task

A - Linear regression

1. Conduct a regression analysis of the dependent variable Credit Limit by considering potential predictor variables. Use appropriate methodology to identify a suitable final model.

2. Give your interpretation of the fitted models and conclusions from the analysis.

3. Describe your decisions taken while building the regression model, providing output from R in the report. What insight does your final regression model give into factors associated with the Credit card Limit?

B - Logistic Regression

1. Using your dataset from Part A of observations, conduct a logistic regression analysis of Attrition Flag as the dependent variable of interest by considering potential predictor variables.

2. State and interpret the adjusted odds ratios with associated 95% confidence intervals for each of the significant variables in the model.

3. What conclusions can you draw about credit card Attrition (ie customer churn) from this this model?

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