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The general pattern is very encouraging, as almost no changes in the main regression are observed.
Table 4 presents the main regression results of the single-equation approach.
Data in both figures are restricted to states used in the main regression portion of the analysis.
5, we commence with the descriptive results of the survey and the variables that are relevant to the main regression analysis.
Thereafter, selected variables for the regression model were tested to evaluate pairwise interaction possibilities, and those variables with interactions were corrected in the main regression model.
The oxygen isotopic values are almost constant with respect to facies, original material (carbonate mud and cement) and sedimentological units (no differences before or after the main regression).
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Both graphics are based on the working sample used in the main regressions.
The estimates are based on the working sample used in the main regressions.
We also re-estimated the main regressions using the population between 25 and 34 years of age.
We also estimated the main regressions (Tables 1 3) using as the outcome the growth in the private employment in plants located in the area from the Istat Statistical Archive on Active Enterprises (an annual census of the private sector).
Table 4 presents the variance decomposition of the variables included in the system, it is clear that the variance of each variable is essentially explained by itself, that bodes well for the inclusion of these variables as covariates in the main regressions.
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CEO of Professional Science Editing for Scientists @ prosciediting.com