In this research they use corruption is an independent variable and debt is a
dependent variable. Furthermore, they construct a corruption perceived index (CPI).
S No###Characteristics###Unit###Constant(a)###Slope (b)###Statistical model for
dependent variable in particulate matter [y = a + b(x)]
The smaller the P-Value, the more significant; a P-value less than or equal to .05 is considered significant for predicting the
dependent variable. (Note: for simple regression with one independent variable, the P-Value is equal to the Significance F).
The
dependent variable in panel (a) is the number of thefts of good i in month t and the independent variable of interest is the price of good i in month t and lags of the price (L is the number of price lags included).
The null hypothesis of no serial correlation is rejected for each industry code and
dependent variable in our sample.
Furthermore, (Negelkerke R square = 0.886) statistic indicate the degree of explained variation of
dependent variable (supporters, non-supporters).
Regression between the independent variable (image) and the
dependent variable (satisfaction) shows that there was a significant positive correlation between these two variables.
* By extrapolation, based on this expression and on other values of independent variables, the corresponding values for the
dependent variable are sought.
In the latter, we use GRP (both 'physical volume' and deflated values) (9) rather than its growth rate as the
dependent variable. We present the estimates based on both per capita oil output and its GRP share measures, and we use both initial oil abundance measures and current ones, although in the latter case we use system-GMM specifications in order to address potential endogeneity problems.
The research design provides sufficient evidence that the independent variable causes change in the
dependent variable or variables.
The results of the model with cost of equity as the
dependent variable and CCC are shown in Table 5.