Identify any outliers that you see and explain how they have an impact on the overall admission and expense trends. Outliers are the data points that can have an impact on your averages and basic descriptive analysis.
Identify future trends and attributes that impact expenses and admissions by adding new sheets to your Data Analysis Workbook per the descriptions below.
Perform two bivariate regressions to provide recommendations.
For the first bivariate regression, the dependent variable should be Total Expense. Choose an independent variable from one of the remaining attributes.
Create a sheet titled P2_1st_Bivariate_Regression in your Data Analysis Workbook.
For the second bivariate regression, the dependent variable should be Admissions. Choose an independent variable from one of the remaining variables.
Create a sheet titled P2_2nd_Bivariate_Regression in your Data Analysis Workbook.
What would be the right attribute size (independent variable) seems most appropriate to lead you in the expense range of $55$75 million?
Perform two multivariate regressions to provide recommendations.
For the first multivariate regression, the dependent variable should be Total Expense (the column in the data set). Choose two independent variables from one of the remaining attributes.
Within your Data Analysis Workbook, create a sheet titled P2_1st_Multi_Regression.
Which combination of the attributes seems most appropriate to lead you in the expense range of $55$75 million?
For the second multivariate regression, the dependent variable should be Admissions (the column name in the data set). You should choose two independent variables from one of the remaining attributes.
Within your Data Analysis Workbook, create a sheet titled P2_2nd_Multi_Regression.
Which combination of the attributes would seem appropriate that would lead you in the expense range of $55$75 million?
Part 2: Final Recommendation Analysis PowerPoint Presentation
Create a presentation designed for senior management and the board of directors to share the results of your analysis and provide your final recommendation.
Current State Analysis (slides 13): State the option (A or B) that you chose and three reasons for your choice.
Which option (Option A or Option B) would you choose based on your analysis, given the expense range of $55$75 million?
Why did you choose your selected attributes?
Describe any relationships or trends you observed while conducting your analysis.
Predictions and Trends Analysis (slides 46): Present the predictions based on the regressions that you have analyzed.
Briefly describe the key elements for each regression presented in Excel. Cite the regression coefficient, regression line equation, pvalue, and significance F in your description.
Which of the independent variables are impactful, and why?
Summary (slide 7): Summarize your findings for an executive audience.
Guidelines for Submission
To complete this project, you must submit the following:
Data Analysis Workbook
Submit your Data Analysis Workbook as an Excel file.
Final Recommendations Analysis:
Create a PowerPoint presentation with 7-10 slides. Any sources should be cited according to APA style.
Supporting Materials
The following resources support your work on the project:
Data Set: Hospital Data Set
Use the following two sheets:
All Hospitals
Small Hospitals (Beds <= 40)
Last Completed Projects
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