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7 pages
Binary Logistic Regression
The main objective of this paper is to examine whether there is a relationship between trust in government and the presenc ...
Binary Logistic Regression
The main objective of this paper is to examine whether there is a relationship between trust in government and the presence of democracy. Using binary ...
Regression models and Reducing readmissions BRIEF to the Board of Directors
Part 1 Building Regression Models in Health Care Finding evidence-based relationships among variables is an important ...
Regression models and Reducing readmissions BRIEF to the Board of Directors
Part 1 Building Regression Models in Health Care Finding evidence-based relationships among variables is an important tool for any healthcare administration leader. On a daily basis, healthcare administration leaders may want to see what variables are correlated so that they can implement quality improvement.This week, you think of scenarios where building and interpreting regression models would be useful for healthcare administration leaders. You might consider building off. For example, Jenna, a healthcare administration leader, determined last week that patient satisfaction scores had fallen from the mean of 87. She wants to know why. She believes that it may have something to do with patient waiting time and time spent with the doctor. Thus, her dependent variable (y) is patient satisfaction and the independent variables are waiting time (x1) and time spent with the doctor (x2). She can evaluate the relationship between these two variables using correlation; bivariate scatterplots for y vs. x1 and y vs. x2; and regression techniques. For this Discussion, think about a healthcare scenario where multiple regression might be useful in your organization or one with which you are familiar. Consider what your dependent and independent variables might be for conducting a multiple regression analysis. Build a small example, and run the regression analysis.PART 2 REGRESSION MODELING Regression modeling is a foundational skill for those conducting secondary data analysis, much like you will encounter in the completion of the Doctor of Healthcare Administration (DHA) program. Additionally, regression modeling assists in finding connections among multiple variables and one dependent variable. Consider, for example, a healthcare administrator who may be asked to develop or interpret models of patient satisfaction based on other quantitative or dichotomous variables. For this Assignment, review the resources for this week. Complete Case Study. The case study is based on a real-world problem. (3–5 pages) Complete Case Study 11.1, "Artsy Corporation," using SPSS. Submit your answers and embedded analysis (SPSS and other analysis) as a Microsoft Word management report References: Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making (5th ed.). Stamford, CT: Cengage Learning. Chapter 10, "Regression Analysis: Estimating Relationships" (pp. 463–531) Chapter 11, "Regression Analysis: Statistical Inference" (pp. 532–589) Fulton, L., Lasdon, L. S., & McDaniel, R. R. (2007). Cost drivers and resource allocation in military health care systems. Military Medicine, 172(3), 244–249. Note: Retrieved from the Walden Library databases. PART 3: Reducing Readmissions: Brief to the Board of Directors In an effort to reduce the high costs of health care, health care executives, physicians, and clinical staff establish guidelines to minimize the rates of readmissions for patients. While certain medical conditions may require that patients are readmitted into health care organizations, for less urgent or extensive medical conditions, ensuring that health care service is administered effectively the first time will go a long way in minimizing readmission. From a financial standpoint, patient readmissions constrict health care services, resources, and staff that would otherwise be used to treat new patient cases. From effective health care delivery, a patient who is readmitted may be an indication of poor quality health care delivery, ineffective process workflows, or inefficient patient care. Review the resources.Reflect on how health care executives might address the board of directors of a health care organization in order to reduce readmissions. Within the context of Medicare reimbursements, how will reducing readmissions benefit the health care organization? (2 pages) Write a brief to the board of directors explaining how you, as the chief executive of the hospital, would implement strategies to reduce readmissions within the context of Medicare reimbursement. Be specific and provide examples.Be sure to include support from the literature.References:Dye, C. F., & Garman, A. N. (2015). Exceptional leadership: 16 critical competencies for healthcare executives. (2nd ed.). Chicago, IL: Health Administration Press.
Chapter 14, "Competency 14: Driving Results" (pp. 157–165)Chapter 15, "Competency 15: Stimulating Creativity" (pp. 167–176)Chapter 16, "Competency 16: Cultivating Adaptability" (pp. 177–186)Butcher, L. (2013). Hospitals strengthen bonds with post-acute providers. Retrieved from http://www.hhnmag.com/articles/5987-hospitals-stre...Sacks, L.B. (2016). Succeeding with new payment models. In The Society for Healthcare Strategy and Market Development of the American Hospital Association (Ed.), Futurescan healthcare trends and implications: 2016–2021 (pp. 38–42). Chicago, IL: Health Administration Press.U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (n.d.-b). Provider preventable conditions. Retrieved from https://www.medicaid.gov/medicaid-chip-program-inf...U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016a). Community-based care transitions program. Retrieved from https://innovation.cms.gov/initiatives/CCTP/U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016e). Readmissions reduction program (HRRP). Retrieved from https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps/readmissions-reduction-program.html
7 pages
Regression And Correlation Analysis
Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. Sel ...
Regression And Correlation Analysis
Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. Select and use one independent ...
7 pages
Acc 5 8
*5. 15 An investigator polls common cold sufferers, asking them to estimate the number of hours of physical discomfort cau ...
Acc 5 8
*5. 15 An investigator polls common cold sufferers, asking them to estimate the number of hours of physical discomfort caused by their most recent ...
Bellevue University Finance for Business Mathematics Discussion
The goal of every buyer and manager is to run a profitable business. In a dynamic business environment, the ability to add ...
Bellevue University Finance for Business Mathematics Discussion
The goal of every buyer and manager is to run a profitable business. In a dynamic business environment, the ability to address opportunities and liabilities quickly can make a huge difference in business results. Understanding business mathematics, the data that each calculation provides, and how to analyze that data, are crucial skills for successful buyers and managers.Instructions:Use your experience and outside research to answer the following questions:Compare and contrast the ways buyers and managers use business mathematics formulas to evaluate profitability in their product area or business.What is the best way for buyers to use business math to make sure they do not buy too much/too little merchandise?What conclusions can be drawn by comparing competitors' pricing to pricing for the same or comparable items in your business?Explain at least two ways in which business mathematics is used to determine which products are driving the majority of a store's business.Compose your answers with one - two paragraphs per question (4 - 8 paragraphs total).Research and use at least one outside source to support your conclusions. You must give appropriate credit to the source of the material.
UOL International Business Effects of Global Warming in Economic Development Essay
All are attached below, max word count is 9 pagesProblem Description:The role of temperature in economic development has b ...
UOL International Business Effects of Global Warming in Economic Development Essay
All are attached below, max word count is 9 pagesProblem Description:The role of temperature in economic development has been an important question. It is often documented that hot countries (or countries closer to equator) tend to be poor. In recent decades, with the warming at a global scale, scientists and policy makers are increasingly concerned about the economic consequence of warmer and drier weather. In this assignment, you are given historical data on temperature, precipitation, and economic outcomes for a sample of 106 countries.You are required to analyse the impact of temperature, precipitation on income levels (measured by per capita GDP in natural logarithm), and more important, on income growth (measured by annual growth of per capita GDP). Each question is described below (2 + 3 + 4 + 6 + 8 + 4 + 1+ 4 = 32 marks; professional report = 8 marks):Locate the data file (IndividualBusStats.xls) on CANVAS.Has the global been becoming warmer and drier over 1950-2000? Draw evidence on the descriptive statistics of relevant variables in the dataset. Calculate the sample covariance and correlation for the two relationships in question 2 above using Data Analysis Tool Pack or Excel statistical functions. In addition, you are required to calculate the sample covariance and correlation using a second method (using basic Excel formulae without Data Analysis Tool Pack). The calculations by the second method should be carefully laid out in Excel and should NOT use any hard-wired Excel statistical functions e.g. COVARIANCE.S, CORREL, et al. You can use the Excel sort command, the sum command, and any other non-statistical excel commands. Carefully interpret your results. Use simple regression to explore the relationship between (i) annual growth of per capita GDP over 1990-2000 (Y) and mean temperature over 1990-2000 (X); (ii) annual growth of per capita GDP over 1990-2000 (Y) and mean precipitation over 1990-2000 (X), respectively. You may use Data Analysis Tool Pack for this. Based on the excel regression output, first write down the estimated regression equations, then carry out any relevant two-tailed hypothesis tests using the critical value approach at the 5% significance level. Carefully interpret your hypothesis test results. Now use multiple regression to explore the relationship of annual growth of per capita GDP over 1990-2000 (Y) with, mean temperature over 1990-2000 (X1), and mean precipitation over 1990-2000 (X2). You may use Data Analysis Tool Pack for this. Based on the excel regression output, first write down the estimated regression equation, then interpret the estimated coefficients on the mean temperature over 1990-2000 (X1), and mean precipitation over 1990-2000 (X2). Carry out any relevant two-tailed hypothesis tests using the p-value approach at the 5% significance level, and an overall significance test using the p-value approach. Carefully interpret your hypothesis test results. Write down a paragraph or two to illustrate: a) why the hypothesis test is required in the above regression analysis (either simple or multiple); b) the underlying mechanism/intuition of a two-tailed hypothesis test in the context of regression analysis. Aid your illustration with diagrams that you think appropriate. Carefully interpret the adjusted R-squared in the multiple regression analysis. If you could request additional data to study the factors that influence the annual growth of per capita GDP, what extra variables would you request? Illustrate two such variables. Carefully explain why you choose these two variables (by drawing evidence from the literature such as journal articles, newspapers, et al), types of your proposed variables (e.g. numerical or categorical), and how each of your proposed variables will be measured in the regression model. 2.Do hot and dry countries tend to be poor (with lower per capita GDP)? Use appropriate graphs to interpret the relationship between relevant variables. You only need to present two relationships. Carefully interpret and explain.
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Most Popular Content
7 pages
Binary Logistic Regression
The main objective of this paper is to examine whether there is a relationship between trust in government and the presenc ...
Binary Logistic Regression
The main objective of this paper is to examine whether there is a relationship between trust in government and the presence of democracy. Using binary ...
Regression models and Reducing readmissions BRIEF to the Board of Directors
Part 1 Building Regression Models in Health Care Finding evidence-based relationships among variables is an important ...
Regression models and Reducing readmissions BRIEF to the Board of Directors
Part 1 Building Regression Models in Health Care Finding evidence-based relationships among variables is an important tool for any healthcare administration leader. On a daily basis, healthcare administration leaders may want to see what variables are correlated so that they can implement quality improvement.This week, you think of scenarios where building and interpreting regression models would be useful for healthcare administration leaders. You might consider building off. For example, Jenna, a healthcare administration leader, determined last week that patient satisfaction scores had fallen from the mean of 87. She wants to know why. She believes that it may have something to do with patient waiting time and time spent with the doctor. Thus, her dependent variable (y) is patient satisfaction and the independent variables are waiting time (x1) and time spent with the doctor (x2). She can evaluate the relationship between these two variables using correlation; bivariate scatterplots for y vs. x1 and y vs. x2; and regression techniques. For this Discussion, think about a healthcare scenario where multiple regression might be useful in your organization or one with which you are familiar. Consider what your dependent and independent variables might be for conducting a multiple regression analysis. Build a small example, and run the regression analysis.PART 2 REGRESSION MODELING Regression modeling is a foundational skill for those conducting secondary data analysis, much like you will encounter in the completion of the Doctor of Healthcare Administration (DHA) program. Additionally, regression modeling assists in finding connections among multiple variables and one dependent variable. Consider, for example, a healthcare administrator who may be asked to develop or interpret models of patient satisfaction based on other quantitative or dichotomous variables. For this Assignment, review the resources for this week. Complete Case Study. The case study is based on a real-world problem. (3–5 pages) Complete Case Study 11.1, "Artsy Corporation," using SPSS. Submit your answers and embedded analysis (SPSS and other analysis) as a Microsoft Word management report References: Albright, S. C., & Winston, W. L. (2015). Business analytics: Data analysis and decision making (5th ed.). Stamford, CT: Cengage Learning. Chapter 10, "Regression Analysis: Estimating Relationships" (pp. 463–531) Chapter 11, "Regression Analysis: Statistical Inference" (pp. 532–589) Fulton, L., Lasdon, L. S., & McDaniel, R. R. (2007). Cost drivers and resource allocation in military health care systems. Military Medicine, 172(3), 244–249. Note: Retrieved from the Walden Library databases. PART 3: Reducing Readmissions: Brief to the Board of Directors In an effort to reduce the high costs of health care, health care executives, physicians, and clinical staff establish guidelines to minimize the rates of readmissions for patients. While certain medical conditions may require that patients are readmitted into health care organizations, for less urgent or extensive medical conditions, ensuring that health care service is administered effectively the first time will go a long way in minimizing readmission. From a financial standpoint, patient readmissions constrict health care services, resources, and staff that would otherwise be used to treat new patient cases. From effective health care delivery, a patient who is readmitted may be an indication of poor quality health care delivery, ineffective process workflows, or inefficient patient care. Review the resources.Reflect on how health care executives might address the board of directors of a health care organization in order to reduce readmissions. Within the context of Medicare reimbursements, how will reducing readmissions benefit the health care organization? (2 pages) Write a brief to the board of directors explaining how you, as the chief executive of the hospital, would implement strategies to reduce readmissions within the context of Medicare reimbursement. Be specific and provide examples.Be sure to include support from the literature.References:Dye, C. F., & Garman, A. N. (2015). Exceptional leadership: 16 critical competencies for healthcare executives. (2nd ed.). Chicago, IL: Health Administration Press.
Chapter 14, "Competency 14: Driving Results" (pp. 157–165)Chapter 15, "Competency 15: Stimulating Creativity" (pp. 167–176)Chapter 16, "Competency 16: Cultivating Adaptability" (pp. 177–186)Butcher, L. (2013). Hospitals strengthen bonds with post-acute providers. Retrieved from http://www.hhnmag.com/articles/5987-hospitals-stre...Sacks, L.B. (2016). Succeeding with new payment models. In The Society for Healthcare Strategy and Market Development of the American Hospital Association (Ed.), Futurescan healthcare trends and implications: 2016–2021 (pp. 38–42). Chicago, IL: Health Administration Press.U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (n.d.-b). Provider preventable conditions. Retrieved from https://www.medicaid.gov/medicaid-chip-program-inf...U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016a). Community-based care transitions program. Retrieved from https://innovation.cms.gov/initiatives/CCTP/U.S. Department of Health and Human Services, Centers for Medicare & Medicaid Services. (2016e). Readmissions reduction program (HRRP). Retrieved from https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps/readmissions-reduction-program.html
7 pages
Regression And Correlation Analysis
Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. Sel ...
Regression And Correlation Analysis
Use the dependent variable (labeled Y) and one of the independent variables (labeled X1, X2, and X3) in the data file. Select and use one independent ...
7 pages
Acc 5 8
*5. 15 An investigator polls common cold sufferers, asking them to estimate the number of hours of physical discomfort cau ...
Acc 5 8
*5. 15 An investigator polls common cold sufferers, asking them to estimate the number of hours of physical discomfort caused by their most recent ...
Bellevue University Finance for Business Mathematics Discussion
The goal of every buyer and manager is to run a profitable business. In a dynamic business environment, the ability to add ...
Bellevue University Finance for Business Mathematics Discussion
The goal of every buyer and manager is to run a profitable business. In a dynamic business environment, the ability to address opportunities and liabilities quickly can make a huge difference in business results. Understanding business mathematics, the data that each calculation provides, and how to analyze that data, are crucial skills for successful buyers and managers.Instructions:Use your experience and outside research to answer the following questions:Compare and contrast the ways buyers and managers use business mathematics formulas to evaluate profitability in their product area or business.What is the best way for buyers to use business math to make sure they do not buy too much/too little merchandise?What conclusions can be drawn by comparing competitors' pricing to pricing for the same or comparable items in your business?Explain at least two ways in which business mathematics is used to determine which products are driving the majority of a store's business.Compose your answers with one - two paragraphs per question (4 - 8 paragraphs total).Research and use at least one outside source to support your conclusions. You must give appropriate credit to the source of the material.
UOL International Business Effects of Global Warming in Economic Development Essay
All are attached below, max word count is 9 pagesProblem Description:The role of temperature in economic development has b ...
UOL International Business Effects of Global Warming in Economic Development Essay
All are attached below, max word count is 9 pagesProblem Description:The role of temperature in economic development has been an important question. It is often documented that hot countries (or countries closer to equator) tend to be poor. In recent decades, with the warming at a global scale, scientists and policy makers are increasingly concerned about the economic consequence of warmer and drier weather. In this assignment, you are given historical data on temperature, precipitation, and economic outcomes for a sample of 106 countries.You are required to analyse the impact of temperature, precipitation on income levels (measured by per capita GDP in natural logarithm), and more important, on income growth (measured by annual growth of per capita GDP). Each question is described below (2 + 3 + 4 + 6 + 8 + 4 + 1+ 4 = 32 marks; professional report = 8 marks):Locate the data file (IndividualBusStats.xls) on CANVAS.Has the global been becoming warmer and drier over 1950-2000? Draw evidence on the descriptive statistics of relevant variables in the dataset. Calculate the sample covariance and correlation for the two relationships in question 2 above using Data Analysis Tool Pack or Excel statistical functions. In addition, you are required to calculate the sample covariance and correlation using a second method (using basic Excel formulae without Data Analysis Tool Pack). The calculations by the second method should be carefully laid out in Excel and should NOT use any hard-wired Excel statistical functions e.g. COVARIANCE.S, CORREL, et al. You can use the Excel sort command, the sum command, and any other non-statistical excel commands. Carefully interpret your results. Use simple regression to explore the relationship between (i) annual growth of per capita GDP over 1990-2000 (Y) and mean temperature over 1990-2000 (X); (ii) annual growth of per capita GDP over 1990-2000 (Y) and mean precipitation over 1990-2000 (X), respectively. You may use Data Analysis Tool Pack for this. Based on the excel regression output, first write down the estimated regression equations, then carry out any relevant two-tailed hypothesis tests using the critical value approach at the 5% significance level. Carefully interpret your hypothesis test results. Now use multiple regression to explore the relationship of annual growth of per capita GDP over 1990-2000 (Y) with, mean temperature over 1990-2000 (X1), and mean precipitation over 1990-2000 (X2). You may use Data Analysis Tool Pack for this. Based on the excel regression output, first write down the estimated regression equation, then interpret the estimated coefficients on the mean temperature over 1990-2000 (X1), and mean precipitation over 1990-2000 (X2). Carry out any relevant two-tailed hypothesis tests using the p-value approach at the 5% significance level, and an overall significance test using the p-value approach. Carefully interpret your hypothesis test results. Write down a paragraph or two to illustrate: a) why the hypothesis test is required in the above regression analysis (either simple or multiple); b) the underlying mechanism/intuition of a two-tailed hypothesis test in the context of regression analysis. Aid your illustration with diagrams that you think appropriate. Carefully interpret the adjusted R-squared in the multiple regression analysis. If you could request additional data to study the factors that influence the annual growth of per capita GDP, what extra variables would you request? Illustrate two such variables. Carefully explain why you choose these two variables (by drawing evidence from the literature such as journal articles, newspapers, et al), types of your proposed variables (e.g. numerical or categorical), and how each of your proposed variables will be measured in the regression model. 2.Do hot and dry countries tend to be poor (with lower per capita GDP)? Use appropriate graphs to interpret the relationship between relevant variables. You only need to present two relationships. Carefully interpret and explain.
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