M X49R M 349R Applied Regression and Time Series 3 Hours
3 Lecture Hours 0 Lab Hours
Introduction to simple and multiple linear regression and to elementary time-series models, including auto-regressive and moving-average models. Emphasizes fitting models to data, evaluating models, and interpreting results. Three lecture hours a week for one semester.
Pre/Corequisites: Mathematics 358K or 378K with a grade of at least C-.
Grading: Student Option
Repeatable for credit: No
Academic Level: Upper Division