Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers
The main purpose of this study is to show that how can we use multivariate multiple linear regression analysis (MMLR) based on principal component scores to investigate relations between two data sets (i.e.pre- and postslaughter traits of Ross 308 broiler chickens). Principal component analysis (PCA...
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Ankara University
2011-03-01
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| Series: | Journal of Agricultural Sciences |
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| Online Access: | https://dergipark.org.tr/tr/download/article-file/1569530 |
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| author | Mehmet Mendes |
| author_facet | Mehmet Mendes |
| author_sort | Mehmet Mendes |
| collection | DOAJ |
| description | The main purpose of this study is to show that how can we use multivariate multiple linear regression analysis (MMLR) based on principal component scores to investigate relations between two data sets (i.e.pre- and postslaughter traits of Ross 308 broiler chickens). Principal component analysis (PCA) was applied to predictor variables to avoid multicolinearity problem. According to results of the PCA, out of 7 principal components only the first three components (PC1, PC2, and PC3) with eigenvalue greater than 1 were selected (explained 89.45 % of the variation) for MMLR analysis. Then, the first three principal component scores were used as predictor variables in MMLR. The results of MMLR analysis showed that shank width, breast circumference and body weight had a similar linear effect on predicting the post-slaughter traits (P=0.746). As a result, since the animals had high value of shank width, breast circumference and body weight, it might be probable that their post-slaughter traits namely heart weight, liver weight, gizzard weight and hot carcass weight were also expected to be high. |
| format | Article |
| id | doaj-art-c185ce6d5a164d2eb04c6228aea522f2 |
| institution | DOAJ |
| issn | 1300-7580 2148-9297 |
| language | English |
| publishDate | 2011-03-01 |
| publisher | Ankara University |
| record_format | Article |
| series | Journal of Agricultural Sciences |
| spelling | doaj-art-c185ce6d5a164d2eb04c6228aea522f22025-08-20T03:03:55ZengAnkara UniversityJournal of Agricultural Sciences1300-75802148-92972011-03-0117110.1501/Tarimbil_000000115845Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of BroilersMehmet Mendes0Canakkale Onsekiz Mart University, Faculty of Agriculture, Department of Animal ScienceThe main purpose of this study is to show that how can we use multivariate multiple linear regression analysis (MMLR) based on principal component scores to investigate relations between two data sets (i.e.pre- and postslaughter traits of Ross 308 broiler chickens). Principal component analysis (PCA) was applied to predictor variables to avoid multicolinearity problem. According to results of the PCA, out of 7 principal components only the first three components (PC1, PC2, and PC3) with eigenvalue greater than 1 were selected (explained 89.45 % of the variation) for MMLR analysis. Then, the first three principal component scores were used as predictor variables in MMLR. The results of MMLR analysis showed that shank width, breast circumference and body weight had a similar linear effect on predicting the post-slaughter traits (P=0.746). As a result, since the animals had high value of shank width, breast circumference and body weight, it might be probable that their post-slaughter traits namely heart weight, liver weight, gizzard weight and hot carcass weight were also expected to be high.https://dergipark.org.tr/tr/download/article-file/1569530multivariate regression analysisprincipal component analysiscanonical correlation |
| spellingShingle | Mehmet Mendes Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers Journal of Agricultural Sciences multivariate regression analysis principal component analysis canonical correlation |
| title | Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers |
| title_full | Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers |
| title_fullStr | Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers |
| title_full_unstemmed | Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers |
| title_short | Multivariate Multiple Regression Analysis Based on Principal Component Scores to Study Relationships between Some Pre- and Post-slaughter Traits of Broilers |
| title_sort | multivariate multiple regression analysis based on principal component scores to study relationships between some pre and post slaughter traits of broilers |
| topic | multivariate regression analysis principal component analysis canonical correlation |
| url | https://dergipark.org.tr/tr/download/article-file/1569530 |
| work_keys_str_mv | AT mehmetmendes multivariatemultipleregressionanalysisbasedonprincipalcomponentscorestostudyrelationshipsbetweensomepreandpostslaughtertraitsofbroilers |