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DVDisident Voice (radical newsletter)
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References in periodicals archive ?
Though, correlation and regression analyses of all the characteristics were found significant, but before developing regression models for the prediction of the dependent variables, a data normality test of the dependent variable was conducted to confirm whether simple linear regression can be used for the prediction of the dependent variable or not.
05 is considered significant for predicting the dependent variable.
This was performed separately for each industry code and each dependent variable in our dataset.
Simplest form of discriminant analysis is when dependent variable is dichotomous, in this case discriminant function use to classify subjects into two groups.
Regression between the independent variable (corporate image) and the dependent variable (quality of service) indicates that there is significant positive correlation between these two variables.
Therefore, the inclusion of initial GDP on the right hand side incorporates some of the impact of oil on the dependent variable and may radically alter the coefficient of the oil abundance measure in the regression.
Regression is a method of statistical analysis through which, by the assignation of determined values to a dependent variable y and to one or more independent variables [x.
The results of the model with cost of equity as the dependent variable and CCC are shown in Table 5.
The independent variables have a 76% effect on the dependent variable as shown by the R value of .
And why should anyone estimate these equivalent models in the form of his Model 2, which includes a lagged dependent variable that merely disguises the dependence of [[?
Results revealed that UN, CSH, TOEPH, ARH(1), ANTE(1) and UNR heterogeneous variance- covariance models were the best model group in modeling the variance- covariance matrix structure regarding the dependent variable and CS, TOEP and AR(1) homogeneous variance- covariance models were the worst model group.
The above analysis estimates the average value of the dependent variable when the independent variable is held fixed.