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Subject Code : INFS5720
Country : Australia

Business Analytics Methods Assignment Task INFS5720

Question 1  INFS5720
Use the data set “Heart Disease 2” in your SAS portal (the descriptions of the data are included with the assignment descriptions) to perform your analysis and answer the
following questions.

1) Develop a logistic regression model to predict the probability that a subject has heart disease. You can discuss and include any interaction effects that you think appropriate. Discuss your final model in terms of fit, accuracy. Based on your final model, discuss the impact of gender, age and smoking on the risk of having heart disease. Be as detailed as you can in the discussion. 
2) Develop a decision tree to predict whether a subject has heart disease. Based on your tree, which are the most important predictors of heart disease? 
3) Which model among the two you have developed would you choose to predict future heart disease? Explain your choice 
4) What approach could you suggest to further improve the model you chose?

Question 2 INFS5720
Use the data set “Cars” in your SAS portal (the descriptions of the data are included with the assignment descriptions) to perform your analysis and answer the following
questions.
1) Before running any analysis, how many clusters do you think that the data can be described in? Explain your answer
2) Perform a cluster analysis to verify your guest in the previous question (Hint: try the analysis with different number k of clusters k=2,3,4,5). With your final model
of choice, describe the differentiating characteristics of the clusters.

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  • Posted on : September 14th, 2018
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