(FPX5017) Predicting an Outcome Using Regression Models

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 healthcare decision.

Write a 34 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). Write a recommendation to determine if a value-based contract should be accepted and what actions should be taken to support the decision. Submit both the Word document and the Excel file that shows the results.

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.

1. Perform the appropriate multiple regression using a data set.

2.Interpret the statistical significance and effect size of the regression coefficients of a data analysis.

• Interpret p-value and beta values.

3.Interpret the fit of the regression model for prediction of a data analysis.

• Interpret R-squared and goodness of fit.

4.Apply the statistical results of the multiple regression of a data analysis to support a healthcare decision.

• Generate a prediction with regression equation.

5.Write a recommendation to determine what decision and plan of action to make for the scenario that is based upon your data analysis and supported with scholarly literature.

6.Write clearly and concisely, using correct grammar, mechanics, and APA formatting.