Correlation and regression-errors and pitfalls

dc.contributor.authorBorovcnik, Manfred
dc.date.accessioned2018-05-03T11:56:07Z
dc.date.available2018-05-03T11:56:07Z
dc.date.issued2012
dc.descriptionURL: http://sjam.selcuk.edu.tr/sjam/article/view/328en_US
dc.description.abstractCorrelation and regression are important tools for empirical research to establish, justify and describe relations between characteristics. The concepts stem from a specific historical background and were intended to imitate causal connections for empirical research in wider areas than physics. While in physics the rank of causality has been changed drastically by entrenching theoretical physics models with genuine -- randomness, the search for causal relations in soft sciences is still an ideal. The methods are applied by scientists from other disciplines than mathematics and statistics who have to interpret them from a "wider perspective". However, misunderstandings and misinterpretations about the concepts involved are also wide-spread even among statisticians. Common errors and pitfalls with regression and correlation are dealt with to enhance the concepts.en_US
dc.identifier.citationBorovcnik, M. (2012). Correlation and regression-errors and pitfalls. Selcuk Journal of Applied Mathematics, 12, 51-68.en_US
dc.identifier.endpage68
dc.identifier.issn1302-7980en_US
dc.identifier.startpage51
dc.identifier.urihttps://hdl.handle.net/20.500.12395/10540
dc.language.isoenen_US
dc.publisherSelcuk University Research Center of Applied Mathematicsen_US
dc.relation.ispartofSelcuk Journal of Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Kategori Belirleneceken_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEmpirical researchen_US
dc.subjectCorrelationen_US
dc.subjectRegressionen_US
dc.subjectAmpirik araştırmaen_US
dc.subjectGerilemeen_US
dc.subjectKorelasyonen_US
dc.titleCorrelation and regression-errors and pitfallsen_US
dc.typeArticleen_US

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