Universitatea din Bucuresti, Facultatea de Administratie si Afaceri

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Double Blind Review Evaluation

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ISSN-L 1453-0503
ISSN (e) 2286-170X
ISSN (p) 1453-0503

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Evaluating factors that influence egg production at Konsoni Poultry Company

 

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  1. Authors:
      • Muje Gjonbalaj
      • Arben Musliu
      • Myrvete Badivuku-Pantina
      • Ilir Zenalaj

    Pages:
      • 63|67

  2. Keywords:

  3. Abstract:
    The main focus of this research is to evaluate the factors thought to influence the monthly egg production of Konsoni Poultry Company. The linear regression employing different variables of interest is used to predict the future monthly egg production of the largest poultry farm in Kosovo. The general purpose of multiple regressions (the term was first used by Pearson, 1908) is to learn more about the relationship between egg price, local competitors and egg imports as independent or predictor variables (xi) and dependent or criterion variable, egg production (y). Y = B0 + B1*X1 + B2*X2 + …Bn*Xn Observed fluctuations in egg production at Konsoni Poultry Company during the period of 24 months. Many factors that effect egg production are poorly understood from managers of Konsoni Poultry Company. This study examines the statistical results and identifies the relationships between depended and independent variables. The study shows that there is a strong relationships between depend variably (y) and independent variables (xi). and low correlations among independent variables The adjusted R2 of the multiple linear regression model is 0.48 which  tells us that  48% of variation in egg production  are  explained by evaluated variables. Konsoni Poultry Company covers 20% of the market share for eggs in Kosovo. In general, multiple regression is used to answer the general question what is the best predictor of Konsoni egg production.

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