Linear Correlation and Regression

Hang Lee
Additional contact information
Hang Lee: Massachusetts General Hospital, Department of Biostatistics

Chapter Chapter 5 in Foundations of Applied Statistical Methods, 2014, pp 87-104 from Springer

Abstract: Abstract In Chap. 1, Pearson’s correlation coefficient as a means to describe a linear association between two continuous measures was introduced. In this chapter, the inference of the correlation coefficient using sample data will be discussed first, and then the discussion will extend to a related method and its inference to examine a linear association of the continuous and binary outcomes with one or more variables using sample data.

Keywords: Regression Coefficient; Linear Regression Model; Binge Drinking; Interval Estimation; Regression Coefficient Estimate (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02402-8_5

Ordering information: This item can be ordered from
http://www.springer.com/9783319024028

DOI: 10.1007/978-3-319-02402-8_5

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().