Abstract
ABSTRACT The Multicollinearity among the explanatory variables in the Multiple Regression Model is a problem that has effects and serious reflections on the accuracy estimation of the Model Parameters, and these effects may be varied in degrees according to the strength or weakness of the multicollinearity among the explanatory variables. The factors analysis is one of the important statistics manners that capable to the treatment of the multicollinearity in the Multiple Regression Model. This manner is used to Treat the Multicollinearity problem and to specifying the effective variables on the wheat world prices by two mathematical functions. The first one is by the variables that direct the effects to the wheat world prices and the other by adding the crises internationalism variables which is curtness, wars, finance and monetary crises and petrol shocks in order to estimate the parameters used (MINITAB) Package. .
