Application of Linear, Quadratic and Cubic Regression Models to Predict Body Weight from Different Body Measurements in Domestic Cats

Basit Öğe Kaydı
dc.contributor.authorErat, Serkan
dc.date.accessioned2020-06-25T17:52:08Z
dc.date.available2020-06-25T17:52:08Z
dc.date.issued2011
dc.departmentKırıkkale Üniversitesi
dc.description.abstractThe aims of this study were to predict body weight (BW) from different body measurements and to determine the best regression model for domestic cats. For this aims, a total of 48 adult Turkish cats (20 females & 8 males Turkish Angora; 13 females & 7 males Turkish Van) were used. In the study, wither height (WH), body length (BL) and head circumference (HC) were assumed as independent variables, whereas body weight was used as dependent variable. Linear, quadratic and cubic effects of the independent variables were included in the assumed model as Y=b(0) + b(1)X + b(2)X(2) + b(3)X(3) + e. Where Y = body weight; b(0) = the intercept; X = independent variables, (WH, BL, or HC); b(1), b(2) and b(3) = regression coefficients and e = random error. Conceptual predictive (Cp) and Akaike information criterion (AIC) were used to determine the most suitable model among the assumed models. The model that has the smallest Cp and AIC values is the best model. The R-2 values from the regression indicate the BL (R-2 = 0.50) to be moderately related to the BW. Neither the quadratic term nor the cubic term was significant for all body traits, whereas the linear term was highly significant (p < 0.001) for all independent variables. Since the maximum number of independent variables is three, there were seven possible different models. It can be concluded that cat body weight was explained with the following model. (BW) = -4.53 + 0.11 WH + 0.13 BL with p-values, < 0.001, 0.0083, and < 0.001 for the intercept, b(1) and b(2), respectively with R-2 = 0.57. (C) 2011 Friends Science Publishersen_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage422en_US
dc.identifier.issn1560-8530
dc.identifier.issn1814-9596
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-79954997867
dc.identifier.scopusqualityQ3
dc.identifier.startpage419en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5088
dc.identifier.volume13en_US
dc.identifier.wosWOS:000291155500021
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherFriends Science Publen_US
dc.relation.ispartofInternational Journal Of Agriculture And Biology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCaten_US
dc.subjectRegression analysisen_US
dc.subjectBody weight estimationen_US
dc.titleApplication of Linear, Quadratic and Cubic Regression Models to Predict Body Weight from Different Body Measurements in Domestic Catsen_US
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Application of Linear, Quadratic and Cubic Regression Models to Predict Body Weight from Different Body Measurements in Domestic Cats.pdf
Boyut:
569.69 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin/Full Text
İndir

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Makale Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu