Ömer ELTAS, Sema ALAŞAHAN, Betül Dağoğlu HARK

Lineer regresyon analizi ile bıldırcın yumurtası boyu ve eninin tahmini

Amaç: Bu çalışma, bıldırcın yumurta boyu ve yumurta eni değerlerinin tahmini için bıldırcın yumurta ağırlık değeri kullanarak regresyon eşitliklerini ve belirlenen regresyon eşitliğinin hata oranını belirlemek amacıyla yapılmıştır. Gereç ve Yöntem: Yumurta toplama işlemi denklem oluşturmak (Haziran-Ağustos) ve denklem doğruluk oranı (Eylül- Ekim) için farklı zamanlarda yapılmıştır. Yumurtaların sayısal ölçüm değerleri ortalama ve standart sapma kullanılarak özetlenmiştir. Bıldırcın yumurtasının boyu ve eni bağımlı değişkenleri sırayla ağırlık bağımsız değişkeni kullanılarak Lineer Regresyon Analizi ile modellenmiştir. Bulgular: Bıldırcın yumurta boyu ve eni bağımlı değişkenler için oluşturulan eşitlik (1) ve (2), yumurta boyu ve eninin tahmini için oldukça yüksek performansa sahip olduğu saptanmıştır. Her iki denklemle elde edilen R² değeri 0.99 olup yumurta ağırlık değişkeninin bıldırcın yumurta boyu ve eni değişkenlerindeki toplam değişimi açıklama oranı %99 olarak bulunmuştur. Önerilen yumurta boyu regresyon denklemi ile Rahn and Paganelli (1988) denklemi arasında ortalama farkının testi istatistiksel olarak anlamlı bulunmamıştır (P=0,939). Öneri: Önerilen bıldırcın yumurta eni regresyon denkleminin Rahn and Paganelli (1988) denkleminden daha başarılı olduğu ve ortalama farkın istatistiksel olarak anlamlı olduğu belirlenmiştir.

Prediction of the length and width of quail eggs using linear regression analysis

Aim: This study was aimed at establishing regression equationsfor the estimation of egg length and egg width valuesusing egg weight values in quail eggs, and at determining theerror rate of the regression equations established.Materials and Methods: Quail eggs were collected twice,between June and August to be used for the establishment ofequations, and between September and October to be usedfor the assessment of the accuracy of the equations established.The numeric measurements of the eggs are presented asmeans and standard deviations.Results: Equations were established for the estimation ofthe dependent egg length and egg width variables usingthe independent egg weight variable with linear regressionanalysis. It was determined that equations (1) and (2) establishedfor the estimation of egg length and egg width, respectively,both performed very well. The R² value was 0.99for both equations, which demonstrated that the egg weightvariable had a share of 99% in describing the total change inthe egg length and egg width variables. The mean differencebetween the regression equation established in this studyfor the estimation of egg length and the Rahn and Paganelli(1988) equation was found to be statistically insignificant(P=0.939).Conclusion: In result, the regression equation established inthis study for the estimation of quail egg width was ascertainedto perform better than the Rahn and Paganelli (1988)equation, and the mean difference between these two equationswas statistically significant.

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