S No###Characteristics###Unit###Constant(a)###Slope (b)###Statistical model for dependent variable
in particulate matter [y = a + b(x)]
Multicollinearity occurs when two or more independent variables are highly correlated to each other, making a regression model statistically unreliable because each independent variable is not really explaining anything different about the dependent variable
The null hypothesis of no serial correlation is rejected for each industry code and dependent variable
in our sample.
For identification dependent variable
is give support to establishing more private academies, which has two categories (Supporters 0, Non-supporters 1).
Regression between the independent variable (image) and the dependent variable
(satisfaction) shows that there was a significant positive correlation between these two variables.
In the latter, we use GRP (both 'physical volume' and deflated values) (9) rather than its growth rate as the dependent variable
By extrapolation, based on this expression and on other values of independent variables, the corresponding values for the dependent variable
The model results with the cost of equity as a dependent variable
are presented in Table 6.
This significance shows that the variables under study have a significant effect on the dependent variable
In Model 4, where the dependent variable
is the level of real disposable personal income per capita, the Democratic PRESIDENT variable is insignificant, as it was before.
CS, TOEP and AR(1) covariance models were thereby found to be the weakest model in explaining the overall change in the structure of the dependent variable
The steady state fluxes through any dependent variable
(or pool), [X.