MATH 346 Regression and Forecasting (Not offered 1997-98)
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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. Through no fault of 
its own, regression analysis has perhaps the most used of all data analysis 
methods. 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 predicting the quality of a vintage of Bordeaux wine from the 
weather to forecasting stock prices, and will come from a broad range of disciplines.
Evaluation will be based primarily on performance on homework and exams.
Prerequisites: Mathematics 143 or 243, and 105, and 211; or permission of instructor.
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	DE VEAUX
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