to accomplish allocated tasks you need to examine and analyse the data

To accomplish allocated tasks, you need to examine and analyse the dataset (Furphy.xlsx) thoroughly. Below are some guidelines to follow:
Task 1 Summarising Dependent Variables
The purpose of this task is to analyse and explore key features of these two variables individually. At the very least, you should thoroughly investigate relevant summary measures of these two variables. Proper visualisations should be used to illustrate key features.
Your technical report should describe ALL key aspects of each variable.
Task 2.1. Identifying relevant factors for predicting repurchasing intention
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.
Task 2.2. Model building (predicting repurchasing intention)
You should follow a model building process. All steps of the 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.).
Your technical report should clearly explain why the model may have undergone several iterations. Also, you must provide a detailed interpretation of ALL elements of the final model.
Task 2.3. Interaction effect
To accomplish this task you need to develop a regression model using

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