Table of Contents:
  • Simple linear regression
  • Detection and correction of model violations: simple linear regression
  • Multiple regression model
  • Qualitative variables as regressors
  • Weighted least squares
  • The problem of correlated errors
  • Analysis of collinear data
  • Biased estimation of regression coefficients
  • Selection of variables in a regression equation.