Task 1 – Summarising Dependent Variables The purpose of this task is to analyse and explore key features of these two variables individually. At very least, you should thoroughly investigate relevant...

Task 1 – Summarising Dependent Variables

The purpose of this task is to analyse and explore key features of these two variables individually. At very least, you should thoroughly investigate relevant summary measures of for these two variables. Proper visualisations should be used to illustrate key features of these two variables.

Your technical report should describe ALL key aspects of each variable.

Reference: Module 1 – Topic 2

Task 2.1. – Identifying relevant factors for predicting customer satisfaction

Analyse the relevant dependent variable against other variables included in the dataset. Your job is to decide which variables to include here. Use an appropriate technique to identify important relationships.

The outcome of this task is a list of variables that should be included in the subsequent analysis.

Your technical report should describe why some variables were selected while others were dropped from subsequent analyses.

Reference: Module 2 – Topic 1 and 2

Task 2.2. – Model Building (Predicting Customer Satisfaction)

You should follow model building process outlined in Module 2 – Topic 2. All steps of model building process should be included in your analysis. You can have as many Excel worksheets (tabs) as you require to clearly demonstrate different iterations of your predictive model (i.e., 2.2.a., 2.2.b., 2.2.c. etc.). Note that your final model should only include those variables that have predictive value.

Your technical report should clearly explain why the model may have undergone several iterations. Also, you must provide detailed interpretation of ALL elements of the final model.