Question: Assignment Overview: Analyze the Framingham Heart Study* dataset preloaded in SAS Studio. Upload a Framingham Heart Study* dataset provided by the textbook publisher in a

Assignment Overview: Analyze the Framingham Heart Study* dataset preloaded in SAS Studio. Upload a Framingham Heart 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)

  1. Log

(copy & paste from SAS)

  1. Results

(copy & paste from SAS)

  1. Results

Interpretation

(write one sentence)

Logistic Regression Weight & Status (Male or Female)

  1. Code

(copy & paste from SAS)

  1. Log

(copy & paste from SAS)

  1. Results

(copy & paste from SAS)

  1. Results Interpretation

(write one sentence)

  1. Results

Comparison

(write one sentence comparing the two logistic regressions)

Heart CSV Upload Proc Print

  1. Code

(copy & paste from SAS)

  1. Log

(copy & paste from SAS)

  1. Results

(copy & paste from SAS)

Please help me with steps 1, 2, 3, and 4.

Thank you so much

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