Instructions Read the following articles about building and leading effective teams: Building and Leading High Performance Teams Building Effective Teams Isn't Rocket Science, but It's Just as Hard (Note: This article can only be accessed a limited number of times.) Managing groups and teams is an essential element of the leading facet of the P-O-L-C framework. As you read these articles, reflect on your experience working in groups and teams, and then address the following prompts: Think about a positive experience when you worked in a group or team and identify the principles that were presented in the articles that were exhibited by your group or team. Explain how these principles helped the group or team succeed. Think about a negative experience when you worked in a group or team and identify which principles from the articles were lacking. Explain how the lack of these principles led to poor performance of the group or team. If you were the manager of that group or team, how would you correct the issues that caused the poor performance?

There are several court cases that have emerged over the past few years dealing with judicial improprietythat went to the United States Supreme Court. An example would be West Virginia’s case of Caperton v. Massey.You can find the stories here by clicking on the following links: Article 1Article 2Article 3Assignment GuidelinesAddress the following in 4–5 pages: Most judges are elected; would it be better to have the judges appointed by a committee? Why or why not? Explain. Would the committee be affected by graft? If so, how? If not, how will it not be affected? Be specific and detailed in your responses. When judges violate the constitution, what should be the recourse? Explain. What current policies exist regarding judicial misconduct? Explain in detail. Do these policies sufficiently address judicial misconduct? Explain in detail. What can be done to improve these policies? Should there be political and financial pressures put on judges? Why or why not? Pertaining to re-election, should judges be held to a higher standard than other candidates for any political office? Why or why not? Be sure to use at least 5 academic and scholarly sources to support your arguments. Be sure to reference all sources using APA style. 4-5 pages

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. 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. RESOURCES Multiple Linear Regression Casson, R. J., & Farmer, L. D. M. (2014). Understanding and checking the assumptions of linear regression: A primer for medical researchers. Clinical & Experimental Ophthalmology, 42(6), 590–596. Frey, B. B. (Ed.). (2018). Multiple linear regression. In The SAGE encyclopedia of educational research, measurement, and evaluation (Vols. 1–4). Thousand Oaks, CA: Sage. Katz, M. H. (2003). Multivariable analysis: A primer for readers of medical research. Annals of Internal Medicine, 138(8), 644–650. Multiple Regression in Microsoft Excel. Statsoft.com. (n.d.). How to find relationship between variables, multiple regression. Retrieved from http://www.statsoft.com/Textbook/Multiple-Regressi... Regression Analysis Gallo, A. (2015, November 04). A refresher on regression analysis. Harvard Business Review Digital Articles, 2–9. SCSUEcon. (2011, August 20). Linear regression in Excel [Video] | Transcript. Retrieved from Using Regression Analysis Every Day. Effect Size Sullivan, G. M. (2012). FAQs about effect size. Journal of Graduate Medical Education, 4(3), 283–284. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC34441... Sullivan, G. M., & Feinn, R. (2012). Using effect size—or why the P value is not enough. Journal of Graduate Medical Education, 4(3), 279–282. Predictive Analytics Davenport, T. H. (2014, September 02). A predictive analytics primer. Harvard Business Review Digital Articles, 2–4. IntroToIS BYU. (2016, November 04). Creating a multiple linear regression predictive model in Excel [Video] | Transcript. Retrieved from Textbook Kros, J. F., & Rosenthal, D. A. (2016). Statistics for health care management and administration: Working with Excel (3rd ed.). San Francisco, CA: Jossey-Bass. 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.Write clearly and concisely, using correct grammar, mechanics, and APA formatting. Additional Requirements Your assessment should meet the following requirements: Written communication: Write clearly, accurately, and professionally, incorporating sources appropriately. Length: 3–4 pages Resources: Not required. APA format: Cite your sources using current APA format. Font and font size: Times Roman, 10 point.