Develop a logistic regression model

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Reference no: EM132350224

Business Analytics Methods

Question 1

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?

male	1 if male; 0 if female
age	age in years
education	1 = Some High School; 2 = High School or GED; 3 = Some College or Vocational School; 4 = college
currentSmoker	1 if yes; 0 if no
cigsPerDay	number of cigarettes smoked per day (estimated average)
BPMeds	1 if taking high blood pressure medicines; 0 if no
prevalentStroke
prevalentHyp
diabetes	0 = No; 1 = Yes
totChol	mg/dL
sysBP	systolic blood pressure mmHg
diaBP	diastolic blood pressure mmHg
BMI	Body Mass Index calculated as: Weight (kg) / Height(meter-squared)
heartRate
glucose
TenYearCHD	1 if having heart disease; 0 if no

Question 2

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 (Hint: There is no correct answer, as long as you can explain your answers logically)

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.

mpg	miles per gallon (distance driven with 1 gallon of fuel)
cylinders	no. of cylinders
cubicinches	volume of cars (in cubic inches)
hp	horse power
weightlbs	weight in lbs
time-to-60	time to accelerate from 0 to 60mph
year	production year
brand

Reference no: EM132350224

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8/1/2019 2:40:12 AM

• This homework accounts for 10% of the total marks for this course. • Total marks for this homework: 100 marks • This homework is due by Week 10. NO marks will be given for late submission without permission. • Type and summarise your answers in a file and upload it (Word or PDF format) to Moodle. You should provide appropriate tables and figures to support your answer. The file name has to be in the following format INFS5720-Assignment2-YourLastName. FIVE (5) marks will be deducted for submitted file with the wrong naming format. • Your submission MUST include a cover page using the template uploaded on Moodle.TEN (10) marks will be deducted for submission without the cover page.

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