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Statistical notes for clinical researchers: simple linear regression 2– evaluation of regression line

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dc.contributor.authorHae-Young Kim-
dc.date.accessioned2021-09-02T19:09:16Z-
dc.date.available2021-09-02T19:09:16Z-
dc.date.created2021-06-17-
dc.date.issued2018-
dc.identifier.issn2234-7658-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/79697-
dc.description.abstractIn the previous section, we established a simple linear regression line by finding the slope and intercept using the least square method as: Ŷ=30.79 + 0.71X. Finding the regression line was a mathematical procedure. After that we need to evaluate the usefulness or effectiveness of the regression line, whether the regression model helps explain the variability of the dependent variable. Also, statistical inference of the regression line is required to make a conclusion at the population level, because practically, we work with a sample, which is a small part of population. Basic assumption of sampling method is simple random sampling.-
dc.languageEnglish-
dc.language.isoen-
dc.publisher대한치과보존학회-
dc.titleStatistical notes for clinical researchers: simple linear regression 2– evaluation of regression line-
dc.title.alternativeStatistical notes for clinical researchers: simple linear regression 2– evaluation of regression line-
dc.typeArticle-
dc.contributor.affiliatedAuthorHae-Young Kim-
dc.identifier.doi10.5395/rde.2018.43.e34-
dc.identifier.bibliographicCitationRestorative Dentistry and Endodontics, v.43, no.3, pp.1 - 11-
dc.relation.isPartOfRestorative Dentistry and Endodontics-
dc.citation.titleRestorative Dentistry and Endodontics-
dc.citation.volume43-
dc.citation.number3-
dc.citation.startPage1-
dc.citation.endPage11-
dc.type.rimsART-
dc.identifier.kciidART002375099-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
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보건과학대학 (보건정책관리학부)
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