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Assignment Overview:AnalyzetheFraminghamHeart Study*dataset preloaded in SAS Studio.

Upload a FraminghamHeart Study*dataset provided by the textbook publisher in a CSV format.

^{*(see textbook Section 2.4)}

Step 1) Produce a Logistic Regression Analysis for the Variables "Weight" and "Status"* using the SASHELP.HEART dataset.

- Week 3 Resources: Chapter 9 & Fit a Logistic Regression Model with SAS (i.e., video, PPT, code)

^{* Model status (event='dead') = weight;}

Step 2) Produce a Logistic Regression Analysis for the Variables "Weight" and "Status"* using the SASHELP.HEART dataset. Analysis Should be Restricted to One Sex (Male or Female).

- Week 3 Resources: Chapter 9 & Fit a Logistic Regression Model with SAS (i.e., video, PPT, code)

^{* Model status (event='dead') = weight;}

Step 3) Upload the HEARTDATASET.CSV into SAS Studio. Create WORK.HEARTDATASET and Run a Proc Print.

- Week 3 Resources: Reading and Generating CSV Files Using SAS Studio (i.e., video, PPT, code)

Step 4) Complete & Submit "Heart Analyses Worksheet #2"

Student Name:

Student Name:

Note: Students can work in pairs to complete the assignment; however, each student must submit a completed worksheet.

Logistic Regression Weight & Status

1.Code

^{(copy & paste from SAS)}

2.Log

^{(copy & paste from SAS)}

3.Results

^{(copy & paste from SAS)}

4.Results

Interpretation

^{(write one sentence)}

Logistic Regression Weight & Status

^{(Male or Female)}

5.Code

^{(copy & paste from SAS)}

6.Log

^{(copy & paste from SAS)}

7.Results

^{(copy & paste from SAS)}

8.Results Interpretation

^{(write one sentence)}

9.Results

Comparison

^{(write one sentence comparing the two logistic regressions)}

Heart CSV Upload Proc Print

10.Code

^{(copy & paste from SAS)}

11.Log

^{(copy & paste from SAS)}

12.Results

^{(copy & paste from SAS)}