The regression coefficient of each path between two variables in the model indicates the strength of the cause-effect relationships between two variables under test, means that it is the strength of the direct effect. The acceptance of hypotheses is based on the T- Value of each path. If the T-Value is resulted from calculation more than plus or minus 1.96 then the hypothesis is accepted, otherwise then it is refused. Table IV below shows the regression coefficient, T-value and acceptance of each hypothesis.