CHAPTER 12

FORECASTING FOR HEALTH CARE MANAGEMENT

LEARNING OBJECTIVES

  • Understand and know appropriate usage of various time series forecasting models.
  • Construct moving averages and exponential smoothing models using Excel.
  • Understand what autocorrelation is and its link to seasonality.
  • Understand and identify dependent and independent variables and use them in a regression model.
  • Develop simple linear and multiple regression models with Excel’s Data Analysis package and use it to predict values of the dependent variable.
  • Interpret the output from Excel’s Data Analysis regression package, including the correlation coefficient R, the coefficient of determination R2, the F-test, the t-tests, and p-values.
  • Understand and speak to multicollinearity, ...

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