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MHA FPX5017 Capella University Predicting an Outcome Using Regression Models Paper & Excel
Perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfac ...
MHA FPX5017 Capella University Predicting an Outcome Using Regression Models Paper & Excel
Perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3-4 page analysis of the results in a Word document and insert the test results into this document.
Introduction
Note: You are strongly encouraged to complete the assessments in this course in the order they are presented.Regression is an important statistical technique for determining the relationship between an outcome (dependent variable) and predictors (independent variables). Multiple regression evaluates the relative predictive contribution of each independent variable on a dependent variable. The regression model can then be used for predicting an outcome at various levels of the independent variables. For this assessment, you will perform multiple regression and generate a prediction to support a health care decision.Overview & Preparation
Download the Assessment 3 Dataset [XLSX]. The dataset contains the following variables:
cost? (hospital cost in dollars)?.
age (patient age in years)?.
risk (count of patient risk factors).
satisfaction (patient satisfaction score percentile rank)?.
Instructions
Hospital administration needs to make a decision on the amount of reimbursement required to cover expected costs for next year. For this assessment, using information on hospital discharges from last year, perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3–4 page analysis of the results in a Word document and insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions.Submit both the Word document and the Excel file that shows the results.Grading Criteria
The numbered assessment instructions outlined below correspond to the grading criteria in the Predicting an Outcome Using Regression Models Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed.
Perform the appropriate multiple regression using a dataset.
Interpret the statistical significance and effect size of the regression coefficients of a data analysis.
Interpret p-value and beta values.
Interpret the fit of the regression model for prediction of a data analysis.
Interpret R-squared and goodness of fit.
Apply the statistical results of the multiple regression of a data analysis to support a health care decision.
Generate a prediction with regression equation.
Write a narrative summary of the results that includes practical, administration-related implications of the multiple regression.
WU Statistics Current Levels of Democracy in Africa Nations Questions
Review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tes ...
WU Statistics Current Levels of Democracy in Africa Nations Questions
Review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:
Independent sample t test
Paired sample t test
One sample t test
Based on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.
Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Write an analysis of your t test results for each research scenario and include the SPSS syntax and output. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.
Topic 3: Data Needs and Data Acquisition
DQ1 Review the "Big Data Ethics: 8 Key Facts To Ponder" Topic Material. Discuss specific ways that you can apply a Christ ...
Topic 3: Data Needs and Data Acquisition
DQ1 Review the "Big Data Ethics: 8 Key Facts To Ponder" Topic Material. Discuss specific ways that you can apply a Christian worldview when accessing, collecting, and analyzing data within a business setting. Include discussion of why awareness and understanding of ethical issues is an important part of being a data analytics professional. Support your ideas with relevant industry examples. Read "Big Data Ethics: 8 Key Facts to Ponder," by Morgan, from Information Week (2015). URL: https://www.informationweek.com/big-data/big-data-analytics/big-data-ethics-8-key-facts-to-ponder/d/d-id/1322143?image_number=3 DQ2 How did you determine the data timeframe to review? Why did you select the data that you used for your analytics project? Why did you exclude other data? What barriers can you come up against when trying to obtain data (i.e., confidential data, personal data, or personnel data)? Assignment Now that you have identified the business problem and translated it into an analytics problem, you can now identify the data needs and acquire the data. Provide a 500-1,000 word paper that, at a minimum, identifies the data needs in terms of the following: What is needed? Be specific for each variable (e.g., Monthly Sales last 12 months, Number of Monthly Customers last 12 months).How can the data be obtained? When can the data be obtained?For each data variable, identify the specific type: Are they measured data (continuous, e.g., how long does a customer stay in the retail store?) or counted data (discrete, e.g., how many customers came to the store from 1 p.m. to 2 p.m.?).Also, assess whether the available data can be used to address the specific analytics problem statement identified in the Topic 2 assignment. Provide the raw data that you will be using for subsequent assignments. Place the dataset into an Excel file. Ensure that column headers are provided that clearly identify the meaning of each data variable. As needed, provide the necessary information in the file so data values can be interpreted. If there are concerns about proprietary issues related to using company data, you can change your dataset accordingly. Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required. This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Algebra 2 - Matrices (Lesson 18)
Complete each of the following sets of problems and SHOW WORK! :) LINK -- http://ogburn.org/wp-content/uploads/2016/05/Alg ...
Algebra 2 - Matrices (Lesson 18)
Complete each of the following sets of problems and SHOW WORK! :) LINK -- http://ogburn.org/wp-content/uploads/2016/05/Alg-I...
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Discussion Prompt 1 And 2
1. What are your research questions? (Main hypotheses and goal of your study) 3. Your choice of statistical test, based on ...
Discussion Prompt 1 And 2
1. What are your research questions? (Main hypotheses and goal of your study) 3. Your choice of statistical test, based on Chapter 7 (Hint: if you ...
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Most Popular Content
MHA FPX5017 Capella University Predicting an Outcome Using Regression Models Paper & Excel
Perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfac ...
MHA FPX5017 Capella University Predicting an Outcome Using Regression Models Paper & Excel
Perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3-4 page analysis of the results in a Word document and insert the test results into this document.
Introduction
Note: You are strongly encouraged to complete the assessments in this course in the order they are presented.Regression is an important statistical technique for determining the relationship between an outcome (dependent variable) and predictors (independent variables). Multiple regression evaluates the relative predictive contribution of each independent variable on a dependent variable. The regression model can then be used for predicting an outcome at various levels of the independent variables. For this assessment, you will perform multiple regression and generate a prediction to support a health care decision.Overview & Preparation
Download the Assessment 3 Dataset [XLSX]. The dataset contains the following variables:
cost? (hospital cost in dollars)?.
age (patient age in years)?.
risk (count of patient risk factors).
satisfaction (patient satisfaction score percentile rank)?.
Instructions
Hospital administration needs to make a decision on the amount of reimbursement required to cover expected costs for next year. For this assessment, using information on hospital discharges from last year, perform multiple regression on the relationship between hospital costs and patient age, risk factors, and patient satisfaction scores, and then generate a prediction to support this health care decision. Write a 3–4 page analysis of the results in a Word document and insert the test results into this document (copied from the output file and pasted into a Word document). Refer to Copy From Excel to Another Office Program for instructions.Submit both the Word document and the Excel file that shows the results.Grading Criteria
The numbered assessment instructions outlined below correspond to the grading criteria in the Predicting an Outcome Using Regression Models Scoring Guide, so be sure to address each point. You may also want to review the performance-level descriptions for each criterion to see how your work will be assessed.
Perform the appropriate multiple regression using a dataset.
Interpret the statistical significance and effect size of the regression coefficients of a data analysis.
Interpret p-value and beta values.
Interpret the fit of the regression model for prediction of a data analysis.
Interpret R-squared and goodness of fit.
Apply the statistical results of the multiple regression of a data analysis to support a health care decision.
Generate a prediction with regression equation.
Write a narrative summary of the results that includes practical, administration-related implications of the multiple regression.
WU Statistics Current Levels of Democracy in Africa Nations Questions
Review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tes ...
WU Statistics Current Levels of Democracy in Africa Nations Questions
Review the t test scenarios found in this week’s Learning Resources and consider the three different approaches of t tests:
Independent sample t test
Paired sample t test
One sample t test
Based on each of the three research scenarios provided, open the High School Longitudinal Study dataset or the Afrobarometer dataset from this week’s Learning Resources using SPSS software, then choose and run the appropriate t test.
Once you perform your t test analyses, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Write an analysis of your t test results for each research scenario and include the SPSS syntax and output. Do not forget to evaluate if the t test assumptions are met, justify the selection of type of t test, and report the effect size. Based on your results, provide an explanation of what the implications of social change might be.
Topic 3: Data Needs and Data Acquisition
DQ1 Review the "Big Data Ethics: 8 Key Facts To Ponder" Topic Material. Discuss specific ways that you can apply a Christ ...
Topic 3: Data Needs and Data Acquisition
DQ1 Review the "Big Data Ethics: 8 Key Facts To Ponder" Topic Material. Discuss specific ways that you can apply a Christian worldview when accessing, collecting, and analyzing data within a business setting. Include discussion of why awareness and understanding of ethical issues is an important part of being a data analytics professional. Support your ideas with relevant industry examples. Read "Big Data Ethics: 8 Key Facts to Ponder," by Morgan, from Information Week (2015). URL: https://www.informationweek.com/big-data/big-data-analytics/big-data-ethics-8-key-facts-to-ponder/d/d-id/1322143?image_number=3 DQ2 How did you determine the data timeframe to review? Why did you select the data that you used for your analytics project? Why did you exclude other data? What barriers can you come up against when trying to obtain data (i.e., confidential data, personal data, or personnel data)? Assignment Now that you have identified the business problem and translated it into an analytics problem, you can now identify the data needs and acquire the data. Provide a 500-1,000 word paper that, at a minimum, identifies the data needs in terms of the following: What is needed? Be specific for each variable (e.g., Monthly Sales last 12 months, Number of Monthly Customers last 12 months).How can the data be obtained? When can the data be obtained?For each data variable, identify the specific type: Are they measured data (continuous, e.g., how long does a customer stay in the retail store?) or counted data (discrete, e.g., how many customers came to the store from 1 p.m. to 2 p.m.?).Also, assess whether the available data can be used to address the specific analytics problem statement identified in the Topic 2 assignment. Provide the raw data that you will be using for subsequent assignments. Place the dataset into an Excel file. Ensure that column headers are provided that clearly identify the meaning of each data variable. As needed, provide the necessary information in the file so data values can be interpreted. If there are concerns about proprietary issues related to using company data, you can change your dataset accordingly. Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required. This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Algebra 2 - Matrices (Lesson 18)
Complete each of the following sets of problems and SHOW WORK! :) LINK -- http://ogburn.org/wp-content/uploads/2016/05/Alg ...
Algebra 2 - Matrices (Lesson 18)
Complete each of the following sets of problems and SHOW WORK! :) LINK -- http://ogburn.org/wp-content/uploads/2016/05/Alg-I...
2 pages
Discussion Prompt 1 And 2
1. What are your research questions? (Main hypotheses and goal of your study) 3. Your choice of statistical test, based on ...
Discussion Prompt 1 And 2
1. What are your research questions? (Main hypotheses and goal of your study) 3. Your choice of statistical test, based on Chapter 7 (Hint: if you ...
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