If random values in a linear program with random coefficients can be predicted using previous observations on them one can utilize the appropriate prediction region and construct a confidence interval in which the optimal value of the objective function lies with a given probability (or even construct a confidence region for the optimal decision). It is a new statistical approach based on projection of the observed data into the time period of interest. The results are demonstrated by a numerical example.