ST02
2 years ago 60
Professornotes.docx
Rubric_.pdf
INSTRUCTIONS.docx
ST3002assessmenttemplate1.docx
RubricCriteria.docx
Professornotes.docx
Professor notes:
Show the calculation for r^2. How do you manually calculate it?
What is each of the six measures correlated with? You have to read the article.
Please check page 583 in the text for the wording on r-squared, the Coefficient of Determination. It is in bold print there. Apply it to your article by writing the statement "about __% of (dependent variable name) can be explained by the linear relationship of (independent variable name) and (dependent variable name.)”
Rubric_.pdf
© 2024 Walden University, LLC 1
XA3004: Health Equity Advocacy and Political Engagement: Analyze the impact of civic engagement on health equity.
Assessment Rubric
Rubric Criteria Masters Expectations Achieves Expectations Does Not Meet
Expectations
Module 1: Health Equity and Political Engagement
Using the Walden College of Nursing Writing Template, construct a 2- to 3-page paper in which you do the following:
• Identify political and civic engagement in a professional nursing organization.
Learning Objective 1.3: Assess opportunities to advocate for and advance health equity within practice or community settings Learning Objective 1.5: Analyze professional nursing organizations and their efforts to promote health equity
The response comprehensively and clearly identifies political and civic engagement in a professional nursing organization. The response includes relevant, specific, and appropriate examples that fully support the identification.
The response identifies political and civic engagement in a professional nursing organization. The response includes relevant, specific, and appropriate examples that support the identification.
The response inaccurately and vaguely identifies political and/or civic engagement in a professional nursing organization, or it is missing. The response includes inaccurate and vague examples that do not support identification, or it is missing.
© 2024 Walden University, LLC 2
Rubric Criteria Masters Expectations Achieves Expectations Does Not Meet
Expectations
• Describe the connection to health equity and the impact of the organization.
Learning Objective 1.3: Assess opportunities to advocate for and advance health equity within practice or community settings Learning Objective 1.5: Analyze professional nursing organizations and their efforts to promote health equity
The response comprehensively and clearly describes the connection between health equity and the impact of the organization. The response includes relevant, specific, and appropriate examples that fully support the description.
The response describes the connection between health equity and the impact of the organization. The response includes relevant, specific, and appropriate examples that support the description.
The response inaccurately and vaguely describes the connection between health equity and the impact of the organization, or it is missing. The response includes inaccurate and vague examples that do not support the description, or it is missing.
Professional Writing Skills Assessment
Professional Writing Masters Expectations Achieves Expectations Does not Meet Expectations
Context, Organization, Audience, Purpose, Tone, Style, Clarity, Flow
Demonstrates full awareness of writing context, audience, and purpose. Content is consistently clear, logical, and well organized with appropriate sentence and paragraph structure. Tone is highly professional, scholarly, and free of bias.
Demonstrates some awareness of writing context, audience, and purpose. Content is mostly clear, logical, and well organized with adequate sentence and paragraph structure. Tone is adequately professional, scholarly, and/or free of bias.
Demonstrates minimal awareness of writing context, audience, and purpose. Content lacks clarity, logic, and/or discernible organization and does not use proper sentence and paragraph structure.
© 2024 Walden University, LLC 3
Style is consistently appropriate for a professional setting/workplace context. Free of spelling, punctuation, and grammar/syntax errors.
Style is mostly appropriate for a professional setting/workplace context. Contains few spelling, punctuation, and/or grammar/syntax errors.
Tone is not professional/scholarly and/or contains bias. Style is inconsistent with a professional setting/workplace context. Contains significant spelling, punctuation, and/or grammar/syntax errors.
Originality, Source Credibility, and Attribution of Ideas
Writing fully reflects original thought and paraphrasing and adheres to reference requirements, including the use of credible evidence to support a claim while incorporating appropriate citations and references in APA format.
Writing adequately reflects original thought and paraphrasing and adheres to reference requirements, including the use of credible evidence to support a claim while incorporating appropriate citations and references in APA format.
Writing does not reflect original thought and paraphrasing and does not adhere to reference requirements, including the use of credible evidence to support a claim while incorporating appropriate citations and references in APA format.
INSTRUCTIONS.docx
This Assessment requires submission of two (2) files. The first file is completed on the provided template and includes the two parts:
The second file should is your Excel file where all computations are completed for the assessment.
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:
1. 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.
2. Choose one of the six graphs and compute the r-squared value. Interpret this value as it relates to variation.
3. 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: Relationship 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 Your assigned number for this task is 141
Perform the following tasks to complete your data set:
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.
1. Scatter Plots, Correlations, and the Correlation Coefficient
· BMI and LDL cholesterol levels
· Create a scatter plot for the data in the BMI and LDL cholesterol columns. Paste it in your report.
· Using Excel, calculate the linear correlation between the data in the BMI and LDL cholesterol columns. Paste your results in your Word document.
· Explain the mathematical relationship between BMI and LDL cholesterol based on the linear correlation coefficient. Be certain to include comments about the magnitude (strength) and the direction (positive or negative) of the correlation. As BMI increases, what happens to LDL cholesterol?
· BMI and HDL cholesterol levels
· Create a scatter plot for the data in the BMI and HDL cholesterol columns. Paste it in your report.
· Using Excel, calculate the linear correlation between the data in the BMI and HDL cholesterol columns. Paste your results in your Word document.
· Explain the mathematical relationship between BMI and HDL cholesterol based on the linear correlation coefficient. Be certain to include comments about the magnitude (strength) and the direction (positive or negative) of the correlation. As BMI increases, what happens to HDL cholesterol?
2. Linear Regression and Prediction
· Let’s say that we wanted to be able to predict the HDL cholesterol level of a patient based on their BMI.
· Using this sample data, perform a linear regression to determine the line of best fit. Use BMI as your x (independent) variable and HDL as your y (response) variable. Use four (4) places after the decimal in your answer. Paste it in your report.
· What is the equation of the line of best fit (linear regression equation)? Present your answer in y = bo + b1x form.
· What would you predict the HDL would be for a patient with a BMI of 25? Show your calculations.
· What would you predict the HDL would be for a patient with a BMI of 40? Show your calculations.
· What effect would you predict BMI would have on HDL levels? Use your computations above to justify your reasoning.
· Calculate the coefficient of determination (R2 value) for this data. What does this tell you about this relationship?
3. Multiple Regression
· Let’s say that we wanted to be able to predict a patient’s pulse using age, systolic blood pressure, and BMI. Using this sample data, perform a multiple-regression line of best fit using age, systolic blood pressure, and BMI as predictor variables and pulse rate as the response variable. Paste your Excel work in your report.
· What is the equation of the line of best fit? The form of the equation is: Y = bo + b1X1 + b2X2 + b3X3 (fill in values for bo, b1, b2, and b3). Round coefficients to three (3) decimal places.
· What would you predict the pulse rate would be for a patient with who is 33 years old with a systolic blood pressure of 110 and BMI of 27?
· What is the R2 value for this regression? What does it tell you about the regression?
ST3002assessmenttemplate1.docx
ST3002 Assessment Template
Prepared by: Replace this text with your name.
Date: Replace this text with the submission date.
Page 2 of 2
Correlation and Regression
Part 1 — Correlation in Research
For this section, refer to 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
All articles are available in full text in the Walden Library, which you may search by title or DOI. Be sure to provide an explanation for each of your answers and include supporting evidence from the text and/or Learning Resources.
Write responses to address the following in paragraph form by inserting your answers directly beneath the questions.
On page 277 (Journal page number), there are six scatter plots. Use these scatter plots to answer the following questions
1. Rank the six correlations provided from lowest correlation to highest correlation. Include a 2- to 3-sentence explanation as to why you ranked these the way you did.
2. Choose ONE of the six graphs and compute the r-squared value. Interpret this value in regard to variation.
3. 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 — Analyzing the Relationships Between Health Factors
The following should be based on the data set you created from the larger BODY DATA (ST3001) data set using the instructions provided.
Scatter plots
Replace this text with your Excel output created and explanations using the following instructions:
· BMI and LDL cholesterol levels
· Create a scatterplot for the data in the BMI and LDL cholesterol columns. Paste it in your report.
· Using Excel, calculate the linear correlation between the data in the BMI and LDL cholesterol columns.
Paste your results in your Word document. Explain the mathematical relationship between BMI and LDL cholesterol based on the linear correlation coefficient. Be certain to include comments about the magnitude (strength) and the direction (positive or negative) of the correlation. As BMI increases, what happens to LDL cholesterol?
· BMI and HDL cholesterol levels
· Create a scatterplot for the data in the BMI and HDL cholesterol columns. Paste it in your report.
· Using Excel, calculate the linear correlation between the data in the BMI and HDL cholesterol columns. Paste your results in your Word document.
· Explain the mathematical relationship between BMI and HDL cholesterol based on the linear correlation coefficient. Be certain to include comments about the magnitude (strength) and the direction (positive or negative) of the correlation. As BMI increases, what happens to HDL cholesterol?
Simple Linear Regression and Predictions
Replace this text with your Excel output created using the following instructions:
· Using this sample data, perform a linear regression to determine the line of best fit. Use BMI as your x (independent) variable and HDL as your y (response) variable. Use four (4) places after the decimal in your answer. Paste it in your report.
· What is the equation of the line of best fit (linear regression equation)? Present your answer in y = bo + b1x form.
· What would you predict the HDL would be for a patient with a BMI of 25? Show your calculations.
· What would you predict the HDL would be for a patient with a BMI of 40? Show your calculations.
· What effect would you predict BMI would have on HDL levels? Use your computations above to justify your reasoning.
· Calculate the coefficient of determination (R2 value) for this data. What does this tell you about this relationship?
.
Multiple Linear Regression
Replace this text with your response to the following:
· Using this sample data, perform a multiple-regression line of best fit using age, systolic blood pressure, and BMI as predictor variables and pulse rate as the response variable. Paste your Excel work in your report.
· What is the equation of the line of best fit? The form of the equation is: Y = bo + b1X1 + b2X2 + b3X3 (fill in values for bo, b1, b2, and b3). Round coefficients to three (3) decimal places.
· What would you predict the pulse rate be for a patient with who is 33 years old with a systolic blood pressure of 110 and BMI of 27?
· What is the R2 value for this regression? What does it tell you about regression?
References
Include appropriately formatted references to scholarly sources to support the statements made in your report. Please refer to the Academic Writing Expectations Checklist for more information.
RubricCriteria.docx
|
Rubric Criteria |
Exceeds Expectations |
Meets Expectations |
Does Not Meet Expectations |
|
Using the provided template, address the following:
· Reflect on the time management chart focusing on support, personal responsibility, and success.
Learning Objective 2.1: Analyze healthy, self-care behaviors that promote wellness and resiliency in ensuring quality healthcare delivery
Learning Objective 2.3: Analyze an environment that promotes self-care, personal health, and well-being
|
The response comprehensively and clearly reflects on the completed time management chart, offering plans for support, success, and personal responsibility.
The response includes relevant, specific, and appropriate examples that fully support the reflection.
|
The response accurately reflects on the completed time management chart.
The response includes relevant, specific, and appropriate examples that support the reflection.
|
The response inaccurately and vaguely reflects on the completed time management chart, or it is missing.
The response includes inaccurate and vague examples that do not support the reflection, or it is missing.
|
|
· Develop a SMART goal for nutrition.
Learning Objective 2.2: Develop a SMART goal related to nutrition
|
An accurate, relevant, and clearly defined SMART goal related to nutrition is developed. |
An accurate SMART goal related to nutrition is developed. |
The developed goal is not a SMART goal, is not aligned to nutrition, or it is missing.
|
|
· Develop a SMART goal for physical activity.
Learning Objective 2.2: Develop a SMART goal related to physical activity
|
An accurate, relevant, and clearly defined SMART goal related to physical activity is developed. |
A SMART goal related to physical activity is developed. |
The developed goal is not a SMART goal, is not aligned to physical activity, or it is missing.
|
|
· Develop a SMART goal for stress management.
Learning Objective 2.2: Develop a SMART goal related to stress management
|
An accurate, relevant, and clearly defined SMART goal related to stress management is developed. |
A SMART goal related to stress management is developed.
|
The developed goal is not a SMART goal, is not aligned to stress management, or it is missing.
|
|
· Develop a SMART goal for restorative sleep.
Learning Objective 2.2: Develop a SMART goal related to restorative sleep
|
An accurate, relevant, and clearly defined SMART goal related restorative sleep is developed. |
A SMART goal related to restorative sleep is developed. |
The developed goal is not a SMART goal, is not aligned to restorative sleep, or it is missing.
|
|
· Develop a SMART goal for social connections.
Learning Objective 2.2: Develop a SMART goal related to social connections
|
An accurate, relevant, and clearly defined SMART goal related to social connections is developed. |
A SMART goal related to social connections is developed.
|
The developed goal is not a SMART goal, is not aligned to social connection, or it is missing.
|
|
· Develop a SMART goal for avoidance of risky substances.
Learning Objective 2.2: Develop a SMART goal related to avoidance or risky substances |
An accurate, relevant, and clearly defined SMART goal related to avoidance of risky substances is developed. |
A SMART goal related to avoidance of risky substances is developed. |
The developed goal is not a SMART goal, is not aligned to avoidance of risky substances, or it is missing.
|
Professornotes.docx
Professor notes:
Show the calculation for r^2. How do you manually calculate it?
What is each of the six measures correlated with? You have to read the article.
Please check page 583 in the text for the wording on r-squared, the Coefficient of Determination. It is in bold print there. Apply it to your article by writing the statement "about __% of (dependent variable name) can be explained by the linear relationship of (independent variable name) and (dependent variable name.)”
Rubric_.pdf
© 2024 Walden University, LLC 1
XA3004: Health Equity Advocacy and Political Engagement: Analyze the impact of civic engagement on health equity.
Assessment Rubric
Rubric Criteria Masters Expectations Achieves Expectations Does Not Meet
Expectations
Module 1: Health Equity and Political Engagement
Using the Walden College of Nursing Writing Template, construct a 2- to 3-page paper in which you do the following:
• Identify political and civic engagement in a professional nursing organization.
Learning Objective 1.3: Assess opportunities to advocate for and advance health equity within practice or community settings Learning Objective 1.5: Analyze professional nursing organizations and their efforts to promote health equity
The response comprehensively and clearly identifies political and civic engagement in a professional nursing organization. The response includes relevant, specific, and appropriate examples that fully support the identification.
The response identifies political and civic engagement in a professional nursing organization. The response includes relevant, specific, and appropriate examples that support the identification.
The response inaccurately and vaguely identifies political and/or civic engagement in a professional nursing organization, or it is missing. The response includes inaccurate and vague examples that do not support identification, or it is missing.
© 2024 Walden University, LLC 2
Rubric Criteria Masters Expectations Achieves Expectations Does Not Meet
Expectations
• Describe the connection to health equity and the impact of the organization.
Learning Objective 1.3: Assess opportunities to advocate for and advance health equity within practice or community settings Learning Objective 1.5: Analyze professional nursing organizations and their efforts to promote health equity
The response comprehensively and clearly describes the connection between health equity and the impact of the organization. The response includes relevant, specific, and appropriate examples that fully support the description.
The response describes the connection between health equity and the impact of the organization. The response includes relevant, specific, and appropriate examples that support the description.
The response inaccurately and vaguely describes the connection between health equity and the impact of the organization, or it is missing. The response includes inaccurate and vague examples that do not support the description, or it is missing.
Professional Writing Skills Assessment
Professional Writing Masters Expectations Achieves Expectations Does not Meet Expectations
Context, Organization, Audience, Purpose, Tone, Style, Clarity, Flow
Demonstrates full awareness of writing context, audience, and purpose. Content is consistently clear, logical, and well organized with appropriate sentence and paragraph structure. Tone is highly professional, scholarly, and free of bias.
Demonstrates some awareness of writing context, audience, and purpose. Content is mostly clear, logical, and well organized with adequate sentence and paragraph structure. Tone is adequately professional, scholarly, and/or free of bias.
Demonstrates minimal awareness of writing context, audience, and purpose. Content lacks clarity, logic, and/or discernible organization and does not use proper sentence and paragraph structure.
© 2024 Walden University, LLC 3
Style is consistently appropriate for a professional setting/workplace context. Free of spelling, punctuation, and grammar/syntax errors.
Style is mostly appropriate for a professional setting/workplace context. Contains few spelling, punctuation, and/or grammar/syntax errors.
Tone is not professional/scholarly and/or contains bias. Style is inconsistent with a professional setting/workplace context. Contains significant spelling, punctuation, and/or grammar/syntax errors.
Originality, Source Credibility, and Attribution of Ideas
Writing fully reflects original thought and paraphrasing and adheres to reference requirements, including the use of credible evidence to support a claim while incorporating appropriate citations and references in APA format.
Writing adequately reflects original thought and paraphrasing and adheres to reference requirements, including the use of credible evidence to support a claim while incorporating appropriate citations and references in APA format.
Writing does not reflect original thought and paraphrasing and does not adhere to reference requirements, including the use of credible evidence to support a claim while incorporating appropriate citations and references in APA format.
INSTRUCTIONS.docx
This Assessment requires submission of two (2) files. The first file is completed on the provided template and includes the two parts:
The second file should is your Excel file where all computations are completed for the assessment.
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:
1. 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.
2. Choose one of the six graphs and compute the r-squared value. Interpret this value as it relates to variation.
3. 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: Relationship 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 Your assigned number for this task is 141
Perform the following tasks to complete your data set:
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.
1. Scatter Plots, Correlations, and the Correlation Coefficient
· BMI and LDL cholesterol levels
· Create a scatter plot for the data in the BMI and LDL cholesterol columns. Paste it in your report.
· Using Excel, calculate the linear correlation between the data in the BMI and LDL cholesterol columns. Paste your results in your Word document.
· Explain the mathematical relationship between BMI and LDL cholesterol based on the linear correlation coefficient. Be certain to include comments about the magnitude (strength) and the direction (positive or negative) of the correlation. As BMI increases, what happens to LDL cholesterol?
· BMI and HDL cholesterol levels
· Create a scatter plot for the data in the BMI and HDL cholesterol columns. Paste it in your report.
· Using Excel, calculate the linear correlation between the data in the BMI and HDL cholesterol columns. Paste your results in your Word document.
· Explain the mathematical relationship between BMI and HDL cholesterol based on the linear correlation coefficient. Be certain to include comments about the magnitude (strength) and the direction (positive or negative) of the correlation. As BMI increases, what happens to HDL cholesterol?
2. Linear Regression and Prediction
· Let’s say that we wanted to be able to predict the HDL cholesterol level of a patient based on their BMI.
· Using this sample data, perform a linear regression to determine the line of best fit. Use BMI as your x (independent) variable and HDL as your y (response) variable. Use four (4) places after the decimal in your answer. Paste it in your report.
· What is the equation of the line of best fit (linear regression equation)? Present your answer in y = bo + b1x form.
· What would you predict the HDL would be for a patient with a BMI of 25? Show your calculations.
· What would you predict the HDL would be for a patient with a BMI of 40? Show your calculations.
· What effect would you predict BMI would have on HDL levels? Use your computations above to justify your reasoning.
· Calculate the coefficient of determination (R2 value) for this data. What does this tell you about this relationship?
3. Multiple Regression
· Let’s say that we wanted to be able to predict a patient’s pulse using age, systolic blood pressure, and BMI. Using this sample data, perform a multiple-regression line of best fit using age, systolic blood pressure, and BMI as predictor variables and pulse rate as the response variable. Paste your Excel work in your report.
· What is the equation of the line of best fit? The form of the equation is: Y = bo + b1X1 + b2X2 + b3X3 (fill in values for bo, b1, b2, and b3). Round coefficients to three (3) decimal places.
· What would you predict the pulse rate would be for a patient with who is 33 years old with a systolic blood pressure of 110 and BMI of 27?
· What is the R2 value for this regression? What does it tell you about the regression?
ST3002assessmenttemplate1.docx
ST3002 Assessment Template
Prepared by: Replace this text with your name.
Date: Replace this text with the submission date.
Page 2 of 2
Correlation and Regression
Part 1 — Correlation in Research
For this section, refer to 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
All articles are available in full text in the Walden Library, which you may search by title or DOI. Be sure to provide an explanation for each of your answers and include supporting evidence from the text and/or Learning Resources.
Write responses to address the following in paragraph form by inserting your answers directly beneath the questions.
On page 277 (Journal page number), there are six scatter plots. Use these scatter plots to answer the following questions
1. Rank the six correlations provided from lowest correlation to highest correlation. Include a 2- to 3-sentence explanation as to why you ranked these the way you did.
2. Choose ONE of the six graphs and compute the r-squared value. Interpret this value in regard to variation.
3. 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 — Analyzing the Relationships Between Health Factors
The following should be based on the data set you created from the larger BODY DATA (ST3001) data set using the instructions provided.
Scatter plots
Replace this text with your Excel output created and explanations using the following instructions:
· BMI and LDL cholesterol levels
· Create a scatterplot for the data in the BMI and LDL cholesterol columns. Paste it in your report.
· Using Excel, calculate the linear correlation between the data in the BMI and LDL cholesterol columns.
Paste your results in your Word document. Explain the mathematical relationship between BMI and LDL cholesterol based on the linear correlation coefficient. Be certain to include comments about the magnitude (strength) and the direction (positive or negative) of the correlation. As BMI increases, what happens to LDL cholesterol?
· BMI and HDL cholesterol levels
· Create a scatterplot for the data in the BMI and HDL cholesterol columns. Paste it in your report.
· Using Excel, calculate the linear correlation between the data in the BMI and HDL cholesterol columns. Paste your results in your Word document.
· Explain the mathematical relationship between BMI and HDL cholesterol based on the linear correlation coefficient. Be certain to include comments about the magnitude (strength) and the direction (positive or negative) of the correlation. As BMI increases, what happens to HDL cholesterol?
Simple Linear Regression and Predictions
Replace this text with your Excel output created using the following instructions:
· Using this sample data, perform a linear regression to determine the line of best fit. Use BMI as your x (independent) variable and HDL as your y (response) variable. Use four (4) places after the decimal in your answer. Paste it in your report.
· What is the equation of the line of best fit (linear regression equation)? Present your answer in y = bo + b1x form.
· What would you predict the HDL would be for a patient with a BMI of 25? Show your calculations.
· What would you predict the HDL would be for a patient with a BMI of 40? Show your calculations.
· What effect would you predict BMI would have on HDL levels? Use your computations above to justify your reasoning.
· Calculate the coefficient of determination (R2 value) for this data. What does this tell you about this relationship?
.
Multiple Linear Regression
Replace this text with your response to the following:
· Using this sample data, perform a multiple-regression line of best fit using age, systolic blood pressure, and BMI as predictor variables and pulse rate as the response variable. Paste your Excel work in your report.
· What is the equation of the line of best fit? The form of the equation is: Y = bo + b1X1 + b2X2 + b3X3 (fill in values for bo, b1, b2, and b3). Round coefficients to three (3) decimal places.
· What would you predict the pulse rate be for a patient with who is 33 years old with a systolic blood pressure of 110 and BMI of 27?
· What is the R2 value for this regression? What does it tell you about regression?
References
Include appropriately formatted references to scholarly sources to support the statements made in your report. Please refer to the Academic Writing Expectations Checklist for more information.
RubricCriteria.docx
|
Rubric Criteria |
Exceeds Expectations |
Meets Expectations |
Does Not Meet Expectations |
|
Using the provided template, address the following:
· Reflect on the time management chart focusing on support, personal responsibility, and success.
Learning Objective 2.1: Analyze healthy, self-care behaviors that promote wellness and resiliency in ensuring quality healthcare delivery
Learning Objective 2.3: Analyze an environment that promotes self-care, personal health, and well-being
|
The response comprehensively and clearly reflects on the completed time management chart, offering plans for support, success, and personal responsibility.
The response includes relevant, specific, and appropriate examples that fully support the reflection.
|
The response accurately reflects on the completed time management chart.
The response includes relevant, specific, and appropriate examples that support the reflection.
|
The response inaccurately and vaguely reflects on the completed time management chart, or it is missing.
The response includes inaccurate and vague examples that do not support the reflection, or it is missing.
|
|
· Develop a SMART goal for nutrition.
Learning Objective 2.2: Develop a SMART goal related to nutrition
|
An accurate, relevant, and clearly defined SMART goal related to nutrition is developed. |
An accurate SMART goal related to nutrition is developed. |
The developed goal is not a SMART goal, is not aligned to nutrition, or it is missing.
|
|
· Develop a SMART goal for physical activity.
Learning Objective 2.2: Develop a SMART goal related to physical activity
|
An accurate, relevant, and clearly defined SMART goal related to physical activity is developed. |
A SMART goal related to physical activity is developed. |
The developed goal is not a SMART goal, is not aligned to physical activity, or it is missing.
|
|
· Develop a SMART goal for stress management.
Learning Objective 2.2: Develop a SMART goal related to stress management
|
An accurate, relevant, and clearly defined SMART goal related to stress management is developed. |
A SMART goal related to stress management is developed.
|
The developed goal is not a SMART goal, is not aligned to stress management, or it is missing.
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· Develop a SMART goal for restorative sleep.
Learning Objective 2.2: Develop a SMART goal related to restorative sleep
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An accurate, relevant, and clearly defined SMART goal related restorative sleep is developed. |
A SMART goal related to restorative sleep is developed. |
The developed goal is not a SMART goal, is not aligned to restorative sleep, or it is missing.
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· Develop a SMART goal for social connections.
Learning Objective 2.2: Develop a SMART goal related to social connections
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An accurate, relevant, and clearly defined SMART goal related to social connections is developed. |
A SMART goal related to social connections is developed.
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The developed goal is not a SMART goal, is not aligned to social connection, or it is missing.
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· Develop a SMART goal for avoidance of risky substances.
Learning Objective 2.2: Develop a SMART goal related to avoidance or risky substances |
An accurate, relevant, and clearly defined SMART goal related to avoidance of risky substances is developed. |
A SMART goal related to avoidance of risky substances is developed. |
The developed goal is not a SMART goal, is not aligned to avoidance of risky substances, or it is missing.
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