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Access the following to complete this Assessment:

ST3002_Rubric

ST3002 Assessment Template

Research Article (PDF)

For this Performance Task, you will perform a comparison of BMI and how it relates to both HDL and LDL cholesterol. Multiple regression will also be used to create a model to predict the pulse of a patient based on age, weight, and systolic blood pressure reading.

You will be assessed on the Professional Skills of Written Communication, Interpreting Data & Quantitative Fluency, and Technology. To make certain you are addressing all aspects of the Professional Skills, please review the rubric to determine what is necessary for meeting the requirements. Visit the Professional Skills resources, as needed.

Instructions

To complete this Assessment, do the following:

Be sure to adhere to the indicated assignment length.

Before submitting your Assessment, carefully review the rubric. This is the same rubric the SME will use to evaluate your submission and it provides detailed criteria describing how to achieve or master the Competency. Many students find that understanding the requirements of the Assessment and the rubric criteria help them direct their focus and use their time most productively.

All submissions must follow the conventions of scholarly writing. Properly formatted APA citations and references must be provided where appropriate. Submissions that do not meet these expectations will be returned without scoring.

This Assessment requires submission of two (2) files. The first file is completed on the provided template and includes the two parts. Save your file as follows:

ST3002_firstinitial_lastname _project(e.g., ST3002_J_Smith)

The second file should is your Excel file where all computations are completed for the assessment. Save this file as

ST3002_firstinitial_lastname_excelwork (e.g., ST3002_J_Smith)

When you are ready to upload your completed Assessment, select Submit Attempt.

Part 1: Correlation in Research

For this part, you will be making use of the following article from the Walden Library:

References

Slavic, D., Jakovljevic, D. K., Zubnar, A., Tapavicki, B., Aleksandric, T., & Drapsin, M. (2019). Effects of different types of training on weight loss. Medicinski Pregled/Medical Review, 72(9/10), 272–279. https://doi.org/10.2298/MPNS1910272S

On page 277 in this journal, there are six scatter plots. Use these scatter plots to answer the following questions:

Rank the six correlations provide from lowest correlation to highest correlation. Include a 2- to 3-sentence explanation for why you ranked these the way you did.

Choose one of the six graphs and compute the r-squared value. Interpret this value as it relates to variation.

Using the information presented on this page, explain one reason why BMI does not always indicate an individual’s health status (correlation does not imply causation).

Part 2: Relationships Between Health Factors

As a medical researcher, you attempt to relate key health factors to each other. Are those with higher BMIs more likely to have higher or lower HDL and LDL cholesterol levels? How are factors such as age, systolic blood pressure, and BMI related to pulse rate? Looking at the correlation between variables will help assess the relationship between key health factors. Once a relationship is established, models can be built to help healthcare professionals assess risk levels for patients based on various factors. While a causal relationship cannot be assumed between factors, regression models can help healthcare practitioners predict key values for patients. To prepare for this Assessment:

Open the data set created in STAT3001, the modified body data set based on your assigned seed number.

Perform the following tasks to complete your data set:

Scatter Plots, Correlations, and the Correlation Coefficient

Linear Regression and Prediction

Multiple Regression

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