Use any one of these references:
Use your Statistics for Health Care Management and Administration text to read the following:
Chapter 11, “Simple Linear Regression”:
Meaning and Calculation of Linear Regression,” pages 365â373.
Amarasingham, R., Patzer, R. E., Huesch, M., Nguyen, N. Q., & Xie, B. (2014). Implementing electronic health care predictive analytics: Considerations and challenges. Health Affairs, 33(7), 1148â1154.
Davenport, T. H. (2014, September 02). A predictive analytics primer. Harvard Business Review Digital Articles, 2â4.
Gallo, A. (2015, November 04). A refresher on regression analysis. Harvard Business Review Digital Articles, 2â9.
Katz, M. H. (2003). Multivariable analysis: A primer for readers of medical research. Annals of Internal Medicine, 138(8), 644â650.
Shah, N. D., Steyerberg, E., & Kent, D. M. (2018). Big data and predictive analytics: Recalibrating expectations. JAMA, 320(1), 27â28.
Question 1- 1/2 page:
Regression analysis can estimate the relationship between variables and is widely used in predictive analytics. For this discussion:
Summarize your understanding of the statistical concept of regression analysis, including the meaning and interpretation of the regression line.
Give two examples of this concept applied to a health care decision in a professional setting, and discuss practical, administration-related implications.
Question 2- 1/2 pqge:
Use Assignment 3 Dataset to do the following:
Perform a simple linear regression with dependent variable (cost) and independent variable (age).
Interpret the statistical significance and effect size of the regression coefficients.
Discuss what the regression means in practical terms.
File Submissions
Upload the following:
The output file (.xlsx file) for the exercise that includes appropriate tables and graphics.
A separate Word document that summarizes your results and interpretation in properly formatted APA style.
Assignment 3 is attached. Please contacte me if you have any questions.
Use any one of these references: Use your Statistics for Health Care Management
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