Introduction. Correlation and regression analysis. The purpose of the investigation. The correlation analysis between y and every x. Selection of variables x for regression analysis. Simple regression analysis between y and chosen x variables. Multiple correlation and regression analysis between y and x variables. The obtained results and its use. Forecasting and calculation of MSE. Forecast by moving average method. Forecast by exponential smoothing method. Formulation and invesitgation of production planning problem. Formulation of production planning problem. Dual problem. Shadow pricing. Transport problem. Conclusions.