GMAT Club Legend
Joined: 05 Apr 2006
Affiliations: HHonors Diamond, BGS Honor Society
Posts: 5916
Schools: Chicago (Booth) - Class of 2009
WE:Business Development (Consumer Products)
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23 Jan 2007, 12:57
Contents:
This course is about linear regression, a powerful and widely used data analysis technique. Students will learn how to use regression to analyze a variety of complex real world problems. Regression-based methods for the analysis of time series data and binary response data are also covered. Examples are used throughout to illustrate application of the tools. Topics covered include: (i) review of simple linear regression; (ii) multiple regression (model specification and interpretation, inference and drawing conclusions); (iii) time series (autocorrelation, auto-regression, prediction, random walks).
Grades:
Based on homework assignments, an exam, and course project.
See that sounds interesting.
Whats wierd, is that one class just says:
Prerequisites:
Business 41000 or familiarity with the topics covered in Business 41000. This course is intended for students with a solid background in statistics and preferably some prior exposure to linear regression.
Another course says:
Prerequisites:
Statistical concepts: Random variables, normal and t distributions, mean and variance of a linear combination of random variables, hypothesis-testing including the concepts of significance level and p-value, t-tests and confidence intervals, sampling error, and the standard error of the sample mean. Business 41000 provides a comprehensive treatment of all of these concepts.
Mathematical Tools: Exponential and logarithmic functions, summation notation, and the equation for a line.
Same class, but it seems like theres a distinct difference in terms of pre reqs....