For questions requiring to use stata please insert the STATA commands that should be used

3. [6.5 points]

Refer to the dataset "cyclosporine.xlsx" used in problem 1.

This dataset presents data from 17 participants, 7 of whom were given cyclosporine, an immunosuppressant, as part of an organ transplant, and 10 of whom were given a different drug. Researchers were also interested if higher systolic blood pressure (mmHg) is correlated to higher creatinine levels (mg/dL).

Variables in this data include:

IDnum: Participant ID (1 to 17)

cyclosporine: Indicator of cyclosporine use (0 for other drug, 1 for cyclosporine)

creatinine: Participant serum creatinine level (mg/dL)

systolic: Participant systolic blood pressure level (mmHg)

The same STATA output may be used for multiple parts of this problem but include for each part.

3a.[3 points]

Calculate the correlation coefficient between creatinine levels and systolic blood pressure.

Describe the strength of the association.

Include STATA command and output.

3a. ANSWER:

3b. [1 point]

What percent of the variation in creatinine levels is explained by systolic blood pressure?

Include STATA command and output, or show hand calculations.

3b. ANSWER:

3c. [2.5 points]

Use a regression model to predict the creatinine level of an individual who has a systolic blood pressure of 120 mmHg.

Include all Stata code and output.

Include the linear regression equation that you used.

[ You do not need to check assumptions, include a graph, conduct a hypothesis test, or interpret anything.]

3c. ANSWER: