Introduction to Correlation and Regression Analysis

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https://support.sas.com/resources/papers/proceedings/pdfs/sgf2008/364-2008.pdf

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http://hdl.handle.net/11603/38088

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UMBC Erickson School of Aging Studies
UMBC Emergency and Distaster Health Systems
UMBC Faculty Collection
UMBC Information Systems Department

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Author/Creator ORCID

https://orcid.org/0000-0002-3995-339X

Date

2008

Type of Work

conference papers and proceedings
Text

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Program

Citation of Original Publication

Stockwell, Ian. “Introduction to Correlation and Regression Analysis,” Statistics and Data Analysis. 2008. https://support.sas.com/resources/papers/proceedings/pdfs/sgf2008/364-2008.pdf

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Subjects

UMBC Health Data Lab

Abstract

SAS® has many tools that can be used for data analysis. From Freqs and Means to Tabulates and Univariates, SAS can present a synopsis of data values relatively easily. However, there is a difference between what the data are, and what the data mean. In order to take this next step, I would like to go beyond the basics and introduce correlation and hypothesis testing using regression models. A brief statistical background will be included, along with coding examples for correlation and linear regression.