Property 
Value 
dbo:abstract

 Pejoratively, a kitchen sink regression is a statistical regression which uses a long list of possible independent variables to attempt to explain variance in a dependent variable. In economics, psychology, and other social sciences, regression analysis is typically used deductively to test hypotheses, but a kitchen sink regression does not follow this norm. Instead, the analyst throws "everything but the kitchen sink" into the regression in hopes of finding some statistical pattern. This type of regression often leads to overfitting (i.e. misleadingly suggesting relationships between independent and dependent variables in the data, which can lead to hasty generalizations). The reason for this is that the more independent variables are included in a regression, the greater the probability that one or more will be found to be statistically significant while in fact having no causal effect on the dependent variableâ€”that is, the more likely the results are to be afflicted with Type I error. The kitchen sink regression is an example of the practice of data dredging. (en)

dbo:wikiPageExternalLink
 
dbo:wikiPageID
 
dbo:wikiPageLength
 
dbo:wikiPageRevisionID
 
dbo:wikiPageWikiLink
 
dbp:wikiPageUsesTemplate
 
dct:subject
 
rdfs:comment

 Pejoratively, a kitchen sink regression is a statistical regression which uses a long list of possible independent variables to attempt to explain variance in a dependent variable. In economics, psychology, and other social sciences, regression analysis is typically used deductively to test hypotheses, but a kitchen sink regression does not follow this norm. Instead, the analyst throws "everything but the kitchen sink" into the regression in hopes of finding some statistical pattern. The kitchen sink regression is an example of the practice of data dredging. (en)

rdfs:label

 Kitchen sink regression (en)

owl:sameAs
 
prov:wasDerivedFrom
 
foaf:isPrimaryTopicOf
 
is dbo:wikiPageDisambiguates
of  
is dbo:wikiPageWikiLink
of  
is foaf:primaryTopic
of  