In this research ,we studied the problem of multicollinearity among
independent variables in the multiple regression model this matter
leads to a mistake in one of the essential conditions of the multiple
regression model and getting incorrect res
ults.
At the beginning we have introduced documented theoretical study
of the kinds of the multicollinearity and of the reasons of the
problem of the multiple regression model and some methods to
discover them.
In addition to this we mentioned some methods that treat the cases of
multiple regression model then we introduced a new method to treat
multicollineartiy and apply it to an example .
In this method we have dealt with multicollinearity on the hand and
solved the problem of discrepancy between the significant of the
regression model and the non-significant of one or more coefficient.
