(4 credits) Prerequisite(s): ECN 610 and ECN 622 or equivalents. Classical least squares assumptions for simple and multiple regression; estimation; associated statistics, e.g., R2, hypothesis testing, and confidence intervals; scaling; prediction; dummy variables; heteroscedasticity; autoregressive disturbances; multicollinearity; certain types of specification error; lagged relationships; simultaneous equilibrium models; limited dependent variable models; time series topics. Cross-listed with ECN 725. Candidates for the M.A. in Economics should register for ECN 625.