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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