| dc.contributor.author | Korkmaz, Mehmet | |
| dc.date.accessioned | 2022-08-17T05:20:29Z | |
| dc.date.available | 2022-08-17T05:20:29Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | http://doi.org/10.1002/num.22533 | |
| dc.identifier.uri | http://earsiv.odu.edu.tr:8080/xmlui/handle/11489/2244 | |
| dc.description.abstract | In this study, in addition to the formula of regression sum of squares (SSR) in linear regression, a general formula of SSR in multiple linear regression is given. The derivations of the formula presented are given step by step. This new formula is proposed for estimation of the SSR in multiple linear regression. By using this formula, the researcher can find easily SSR and so the researcher can compose easily the table of variance analysis to interpret the regression made. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | WILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA | en_US |
| dc.relation.isversionof | 10.1002/num.22533 | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.subject | linear regression; multiple linear regression; regression sum of squares | en_US |
| dc.title | A study over the general formula of regression sum of squares in multiple linear regression | en_US |
| dc.type | article | en_US |
| dc.relation.journal | NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS | en_US |
| dc.contributor.department | Ordu Üniversitesi | en_US |
| dc.identifier.volume | 37 | en_US |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.startpage | 406 | en_US |
| dc.identifier.endpage | 421 | en_US |
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