Regression and Correlation Using R
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Authors
Hartenstein, Sarah
Advisor
Holly Zullo
Mark Parker
Belle Marie
Mark Parker
Belle Marie
Editor
Date of Issue
2006-04-01
Subject Keywords
Publisher
Citation
Series/Report No.
item.page.identifier
Title
Regression and Correlation Using R
Other Titles
Type
thesis
Description
Abstract
This thesis has three parts: an analysis of mountain lion data provided by Montana Department of Fish, Wildlife and Parks, a study of the strength of correlations with small data sets, and preparation of a beginner’s user manual for the statistical package R. The analysis of the mountain lion data showed correlations in which the coefficient of determination was around 0.60 with a data set of size five. A simulation was written in R to determine the likelihood of seeing this strength of correlation, and it was found that a coefficient of at least 0.60 occurs in only 13% of cases. The open source statistical package, R, was used for all analysis. In the course of learning R, a manual was prepared to assist future students in learning this valuable software package.
Sponsors
Degree Awarded
Bachelor's
Semester
Spring
Department
Mathematics, Engineering & Computer Science