Lecture, six hours. Limited to Master of Financial Engineering program students. Theory and in-depth application of linear regression. Topics include simple linear regression, multiple regression, prediction in multiple regression model, residual diagnostics, detection of outliers, and violations of stochastic assumptions. Letter grading.