This chapter will provide the consequences, associations and effects among the dependent and
independent variables and will also discuss the influence of one variable on another.
When building NHFM, all the
independent variables were used in ANFIS structure.
The above table describes all
independent variables, i.e.
The results of the correlation matrix of the dependent and
independent variables are given in Table II.
Caption: Figure 10: Simulation results for a branch pathway system under different experiment environments (
independent variables [x.sub.5] = 0.6, 0.3 and 0.9) with various initial conditions: the initial conditions are set at [1.6 1.6 0.4 1.6] (black solid lines), [2.2 2 1.6 2.3] (red dashed lines), and [2 1.2 2.3 0.8] (blue dashed lines) for the case x5 = 0.6, at [1.6 1.6 0.4 1.6] (red solid lines) and [2.7 1.6 2 0.4] (blue dashed lines) for the case x5 = 0.3, and at [2.7 0.4 0.4 1.6] (black solid lines), [1.6 1.6 0.4 1.6] (red dashed lines), and [0.4 2.7 0.4 2.7] (blue dashed lines) for the case x5 = 0.9.
Results for this data show that all
independent variables are independent from each other by a comfortable margin.
With net cost of operations as the dependent variable and the POM (w/OCO) as the
independent variable, we can make a prediction for the FY2016 net cost of operations that will appear in the Statement of Net Cost.
The comparisons of the final BCVAs between the cases with or without these five significant
independent variables are presented in Table 6.
Therefore, with larger database and larger numbers of
independent variables and hidden neurons, the training time would be longer.
In case of direct causal effect of leadership styles on the dependent variable, job satisfaction, the significant path coefficients for H6, H7, H8, and H9 affirmed that all four
independent variables have direct effect on the level of job satisfaction.
* Choosing the economic indicators--after the identification of
independent variables, we search for other adjacent factors that are liable to influence the respective variable and that can be included in the regression equation.
Regarding to the tests and analysis that were done in chapter 4 by regression and correlation and as can be see in figure(4-15) we found that there is a coefficient of positive correlation between the
independent variable and control variables with accuracy of profit forecast in accepted companies existing in the Iranian capital market and the value is 0.311.
