Research Paper | Statistics | Turkey | Volume 5 Issue 11, November 2016
Estimation of the Egg Albumen Weight in the Japanese Quails using Ridge Regression Method
Senol Celik, Bunyamin Sogut
In this work, Ridge regression method has been used firstly to determine albumen weight from some egg quality characteristic in the Japanese quails. In order to determine albumen weight, a regression equation was obtained using by egg weight (EW), shape index, (SI), albumen index (AI), yolk index (YI), yolk weight (YW), crust thickness (CT), crust weight (CW), albumen height (AH) and Haugh unit (HU). The goodness of fit of the model were determined as R2=0.685 and Adj. R2=0.670. It was that, given the high degree of multicolinearity of the predictor variables, Ridge regression techniques would provide less standard errors than would the Least Square (LS) technique in this research.
Keywords: Ridge regression, Multicolinearity, egg quality, quails, albumen weight
Edition: Volume 5 Issue 11, November 2016
Pages: 1811 - 1814
How to Cite this Article?
Senol Celik, Bunyamin Sogut, "Estimation of the Egg Albumen Weight in the Japanese Quails using Ridge Regression Method", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20163231, Volume 5 Issue 11, November 2016, 1811 - 1814
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