Evaluating factors that influence egg production at Konsoni Poultry Company
Evaluating factors that influence egg production at Konsoni Poultry Company

Summary/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 inter-est 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*XnThe results of the research come from the 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 relation-ships 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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