STAT 346
Regression and Forecasting Fall 2018 (also offered Spring 2019)
Division III Quantative/Formal Reasoning
This is not the current course catalog

Class Details

This course focuses on the building of empirical models through data in order to predict, explain, and interpret scientific phenomena. Regression modeling is the standard method for analyzing continuous response data and their relationship with explanatory variables. This course provides both theoretical and practical training in statistical modeling with particular emphasis on simple linear and multiple regression, using R to develop and diagnose models. The course covers the theory of multiple regression and diagnostics from a linear algebra perspective with emphasis on the practical application of the methods to real data sets. The data sets will be taken from a wide variety of disciplines.
The Class: Format: lecture
Limit: 22
Expected: 15
Class#: 1796
Grading: no pass/fail option, no fifth course option
Requirements/Evaluation: evaluation will be based primarily on performance on exams, homework, and a project
Prerequisites: STAT 201 or 202, and MATH 150 and 250; or permission of instructor
Distributions: Division III Quantative/Formal Reasoning
Attributes: EVST Methods Courses

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