STAT 346 Fall 2012 Regression and Forecasting (Q)

This course focuses on the building of empirical models through data in order to predict, explain, and interpret scientific phenomena. The main focus will be on multiple regression as a technique for doing this. We will study both the mathematics of regression analysis and its applications, including a discussion of the limits to such analyses. The applications will range from a broad range of disciplines, such as predicting the waiting time between eruptions of the Old Faithful geyser, forecasting housing prices or modeling the probability of O-ring failure at Space Shuttle launches.
Class Format: lecture
Requirements/Evaluation: evaluation will be based primarily on performance on exams, homework, and a project
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Prerequisites: Statistics 101 or 201, and Mathematics 105 and 211; or permission of instructor
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Divisional Attributes: Division III,Quantitative and Formal Reasoning
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Enrollment Limit: 20
Expected Enrollment: 15
Class Number: 1258
CLASSES ATTR INSTRUCTORS TIMES CLASS NUMBER ENRL CONSENT
STAT346-01(F) LEC Regression and Forecasting (Q) Division 3: Science and MathematicsQuantitative and Formal Reasoning Richard D. De Veaux
TR 09:55 AM-11:10 AM Bronfman 119 1258
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