Statistical notes for clinical researchers: simple linear regression 2– evaluation of regression line
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hae-Young Kim | - |
dc.date.accessioned | 2021-09-02T19:09:16Z | - |
dc.date.available | 2021-09-02T19:09:16Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2018 | - |
dc.identifier.issn | 2234-7658 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/79697 | - |
dc.description.abstract | In 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.language | English | - |
dc.language.iso | en | - |
dc.publisher | 대한치과보존학회 | - |
dc.title | Statistical notes for clinical researchers: simple linear regression 2– evaluation of regression line | - |
dc.title.alternative | Statistical notes for clinical researchers: simple linear regression 2– evaluation of regression line | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Hae-Young Kim | - |
dc.identifier.doi | 10.5395/rde.2018.43.e34 | - |
dc.identifier.bibliographicCitation | Restorative Dentistry and Endodontics, v.43, no.3, pp.1 - 11 | - |
dc.relation.isPartOf | Restorative Dentistry and Endodontics | - |
dc.citation.title | Restorative Dentistry and Endodontics | - |
dc.citation.volume | 43 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 11 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART002375099 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
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