Page 14 - Azerbaijan State University of Economics
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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.78, # 2, 2021, pp. 4-16


                    It should be noted that the study examined the normal and exponential distribution of
                    the scores collected by applicant in all specialty groups for both Azerbaijani and Russian
                    sections, as well as the scores obtained by bachelors in the admission exams to master
                    level.  However, the  results  for all  of these  groups  are subject to  neither  normal nor
                    exponential distribution. That is to say that the scores are assymmetrically distributed.

                    As it can be seen from tables 2 and 3 in both cases the mean of sequence is greater
                    than its mod, and this means that these sequences are asymmetric to the right.

                    ECONOMETRIC  EVALUATION  OF  SCORES  OBTAINED  IN  THE
                    ADMISSION EXAMS
                    Evaluation of the dependence of average scores on time. An econometric evaluation
                    was made of the dependence of the average scores obtained by the applicants from
                    time. For this, the following specification of the regression equation was considered:

                    Log(mean_total)=c(1)+ c(2) @TREND                                        (2)

                    The result of the econometric evaluation of the regression equation in the EViews
                    application package (Eviews 9) was as follows:

                    LOG(MEAN_TOTAL) = 5.1093116842 + 0.0101236457358*@TREND     (3)

                    The main statistical characteristics of  model (3), residiual diagnostics tests and other
                    relevant tests indicates that, the model is adequate. It means, residuals meet Gauss-
                    Markov  assumptions  and  the  values  of  parameters  found  by  the  Least  Squares
                    method are unbiased and effective.

                              Table 6: The main statistical characteristics of the model (3)

                     Sample (adjusted): 1996 2020
                     Included observations: 24 after adjustments
                     Variable              Coefficient    Std. Error     t-Statistic     Prob.
                     C                     5.109312       0.032906       155.2690        0.0000
                     @TREND                0.010124       0.002682       3.774222        0.0012
                     R-squared             0.415969           Mean dependent var         5.215610
                     Adjusted R-squared    0.386767           S.D. dependent var         0.101927
                     S.E. of regression    0.079819           Akaike info criterion      -2.131614
                     Sum squared resid     0.127420           Schwarz criterion          -2.032428
                     Log likelihood        25.44775           Hannan-Quinn criter.       -2.108249
                     F-statistic           14.24475           Durbin-Watson stat         1.540931
                     Prob(F-statistic)     0.001192



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