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Run the Data Exploration task in SAS on the Diabetes table. What can you conclude about the different data fields from the data exploration task?

INSTRUCTIONS TO CANDIDATES
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ubmit a word document or PDF showing the results of your work.

Use the Diabetes table in the GB704 library in SAS On Demand for this assignment. This file contains 10 columns of data. 

The tenth column, Outcome, contains the target data for a regression. 

The data are originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The data file contains information for 768 Pima Indian women from a population near Phoenix, Arizona. The women were tested for diabetes; 268 women tested positive while 500 women tested negative. The data file contains one categorical dependent variable (Outcome) and eight independent variables. A brief data dictionary is shown on the next page. 

1. Run the Data Exploration task in SAS on the Diabetes table. What can you conclude about the different data fields from the data exploration task? 

2. Create a correlation matrix for the data file. What do you conclude from the correlation matrix? 

3. Run a binary logistic regression. The Outcome field is the dependent target variable and all other fields (except the 

Index field) are the independent, explanatory variables. What is your final model? 

4. Create the confusion matrix associated with your regression model. How many type I errors does your model 

produce? How many type II errors? 

5. You are presented with a female Pima Indian having the characteristics listed below. Using your model, calculate 

the predicted probability of diabetes for this individual. 

 

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