Chapter 9 Simple Normal Regression

Learning objectives:

• Building simple linear regression model

  • Understand Bayesian approach to regression
  • Interpret appropriate prior models
    
  • Simulate posterior model of the regression parameters
  • Utilize simulation result to
    • build posterior understanding of relationship between response (\(Y\)) and predictors (\(X\))
    • build posterior predictive models of \(Y\)