Published in Scientific Papers. Series "Management, Economic Engineering in Agriculture and rural development", Vol. 15 ISSUE 4
Written by Agatha POPESCU

The purpose of the paper was to analyze the relationship between milk production and dairy bovine livestock and milk price, using the multiple correlation and regression models. The reference period is the 2005-2014 decade in dairy sector of Romania and the data were provided by the National Institute of Statistics. The simple correlation coefficient RXZ = - 0.477 reflected a negative relationship between milk production and milk price, and the coefficient of correlation RYZ = - 0.676, also reflected a negative relationship between the dairy livestock and milk price. While, the total coefficient of linear multiple correlation, RZ.XY = 0.771, reflected a significant positive relationship between milk price, milk production and the dairy livestock, the partial coefficient RZX.Y = - 0.537 reflected a negative middle link between milk production and milk price, when the dairy livestock is constant. Also, the partial coefficient of multiple correlation, RZY.X = - 0.709, reflected a strong negative influence of milk production on the pair milk price and dairy livestock. The linear multiple regression had the formula: Z= - 0.00349 X + 0.08305 Y + 165.68 and the width of the confidence interval, δα/2, was 29.08. In 2015, for Xe= 50,025.45 thousand hl milk production and Ye= 1,251.23 thousand heads dairy livestock, the predicted milk price was 95.01 Lei/hl. Therefore, the multiple correlation and regression are important mathematical tools to describe the relationships between milk production, the dairy bovine livestock and milk price and predict milk price based on the other factors.

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