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  5. A Multiple Linear Regression Analysis on Mathematics Placement at The University of Tennessee, Knoxville
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A Multiple Linear Regression Analysis on Mathematics Placement at The University of Tennessee, Knoxville

Date Issued
December 1, 2004
Author(s)
Moore, Steven K.
Advisor(s)
Yueh-er Kuo
Additional Advisor(s)
Reid Davis
William Wade
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/40859
Abstract

This paper looks at solving the least squares problem and then using that theory to solve a simple multiple regression analysis for placing students into mathematics courses at the University of Tennessee, Knoxville.


The first chapter is an introduction and a basic outline of the problem. Chapter 2 outlines the theory behind solving an actual least squares problem for both the general case and for the particular case of nonsingular matrices. Chapter 3 discusses assumptions that must be made when running the analysis.

In chapters 4 and 5 computers are discussed and software output is explained. Finally, Chapter 6 gives conclusions on the work. These conclusions can be viewed as successful or not by the reader, however, the analysis is both valid and yields interesting results.

Disciplines
Analysis
Degree
Master of Science
Major
Mathematics
Embargo Date
December 1, 2004
File(s)
Thumbnail Image
Name

MooreStevenK._2004_OCRed.pdf

Size

3.85 MB

Format

Adobe PDF

Checksum (MD5)

573d1d8b33fae79a71cef1c173672629


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