4.6 Using Computer Software for Regression.4.4 Assumptions of the Regression Model.4.3 Measuring the Fit of the Regression Model.Measuring Utility and Constructing a Utility Curve.Potential Problem in Using Survey Results.3.7 How Probability Values Are Estimated by Bayesian Analysis.3.5 Using Software for Payoff Table Problems.Criterion of Realism (Hurwicz Criterion).3.2 Types of Decision-Making Environments.Appendix 2.1: Derivation of Bayes’ TheoremDerivation of Bayes’ Theorem.Solving Problems with the Binomial Formula.
Scenario: During registration at a university, an adviser must approve students’ course selections.
Assume a trend analysis (regression over time) forecasting model and build a model for each of the five games (five models in total) by using the forecasting module of the POM software.
For this case study, you are required to build a forecasting model. Use the forecasting module that you opened in the POM-QM for Windows software to solve the Southwestern University case study at the end of Chapter 4 of the Heizer and Render (2014) textbook.