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ERIC Number: EJ831995
Record Type: Journal
Publication Date: 2006-Jun
Pages: 16
Abstractor: As Provided
Reference Count: 20
ISSN: ISSN-1051-1970
Assessing the Appropriateness of Transformations Using Simulation
Dambolena, Ismael; Eriksen, Steven E.; Kopcso, David P.
PRIMUS, v16 n2 p105-120 Jun 2006
The logarithmic transformation is a commonly applied procedure in regression analysis when two or more variables have a nonlinear relationship. When the response variable is logarithmically transformed, confidence intervals for conditional means and predictions may actually be wider than their counterparts obtained from the model with the original data. A mathematical approach and simulation are both used to analyze this result. (Contains 4 figures, 1 table, and 1 footnote.)
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A