dc.contributor.author |
DeVries, Jessica
|
|
dc.date.accessioned |
2008-12-13T02:40:34Z |
|
dc.date.available |
2008-12-13T02:40:34Z |
|
dc.date.issued |
2007 |
|
dc.identifier.uri |
http://hdl.handle.net/10214/1861 |
|
dc.description.abstract |
Bivariate correlation refers to an expression that indicates the direction and magnitude of the relationship between two continuous variables. Simple linear regression is the analysis of the relationship among two variables for the purpose of understanding how one variable may predict the other variable |
|
dc.language.iso |
en |
en |
dc.subject |
Bivariate Correlation |
en_US |
dc.subject |
linear regression |
en_US |
dc.subject |
regression line |
en_US |
dc.subject |
regression equation |
en_US |
dc.subject |
Pearson |
en_US |
dc.subject |
Spearman |
en_US |
dc.subject |
correlation coefficient |
en_US |
dc.subject |
coefficient of determination |
en_US |
dc.subject |
Linear Regression |
en_US |
dc.title |
About Bivariate Correlation and Linear Regression |
en |
dc.type |
Learning Object |
en |
dc.rights.license |
All items in the Atrium are protected by copyright with all rights reserved unless otherwise indicated. |
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