Possibilities Of Estimating Body Weight From Different Body Measurements In Hair Goat Using Different Regression Models
2019
Demiraslan, Yasin | Gurbuz, Iftar | Gurkan Dilek, Omer | Ozudogru, Sukru | Ozgel, Ozcan
In the study, the data obtained to describe the body characteristics of the Hairpin were utilized in the businesses that were registered with Karaman Province Breeding Sheep Goat Breeders Association. Body weights of 130 goats, 2, 3, 4, 5, 6 and 7 years old and 50 goats, 2, 3 and 4 years old, selected by simple random sampling method were used in the data of total 900. In the study, Pearson correlation coefficient for variables providing parametric test prerequisites, and Spearman correlation analysis for variables not providing parametric test prerequisites. In the regression analysis, "live weight" dependent variable and other variables were determined as independent variables and parametric and nonparametric regression methods were applied. Univariate and multivariable regression models were applied for the whole data set. When all analyzes are evaluated, univariate regression models give lower determination coefficients (R2) than multivariate models. In this case, it has been deemed appropriate to use a multivariate regression model instead of a univariate model in order to make a correct prediction.However, in practice, univariate Quadratic or Cubic regression methods can be used for researchers.
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