![]() 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. 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 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). 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. Hospital administration needs to make a decision on the amount of reimbursement required to cover expected costs for next year. Satisfaction (patient satisfaction score percentile rank)?. The dataset contains the following variables: For this assessment, you will perform multiple regression and generate a prediction to support a health care decision.Overview & Preparationĭownload the Assessment 3 Dataset. The regression model can then be used for predicting an outcome at various levels of the independent variables. Multiple regression evaluates the relative predictive contribution of each independent variable on a dependent variable. 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). Write a 3-4 page analysis of the results in a Word document and insert the test results into this document. ![]() ![]() 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. Discuss how the manager of the team you chose could use the data displays or statistical measures you found. For the two variables you chose, how do you think the data displays and statistical measures would compare for aĤ. Was the r-value for your variables about what you were expecting? Explain.ģ. Were you surprised by the way the data in either of the data sets were distributed? Explain.Ģ. ![]() Replace with a reflection that addresses the following.ġ. Line of best fit, and whether or not there are any clusters or outliers. Replace with a discussion of the scatter plot that includes the strength of the correlation, the slope of the Replace with the correlation coefficient, r. Replace with the equation of the line of best fit. y” title for the scatter plot, for example, “Home Runs vs. Note: You can put either variable on either axis. Replace with a screenshot of a scatter plot of the data, with the line of best fit, from GeoGebra. Replace with a discussion that compares the spreads of the data sets. Replace the text and with the first and second variable titles. Replace and with GeoGebra screenshots of box-and-whisker plots for the first and second variable. Replace with a discussion about what values, if any, are outliers and why. Fill in the table with the five-number summaries for each variable.ģ. Replace with your first variable and with your second variable.Ģ. Remember, you should delete these directions.ġ. Replace with a brief description of the data distribution. Replace with a screenshot of a histogram of the data from GeoGebra. Replace with your first variable.įill in the table to create a frequency table for your first variable. Replace with the date you used the website to fill in the data table. Replace with the link to the website containing your data. You canĬopy explanations directly from the team website. Replace each with an explanation of the variable. Replace and with the variable name or abbreviation. Enter data from your source website into the tables. Replace “Variable” with your variable name and V1 or V2.ģ. Replace with a description of the data.Ģ. Follow the directions, and thenĭelete the directions text on each slide before submitting your project.ġ. Every slide in this presentation has directions at the bottom that tell you how to assemble your project.
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