INDUSTRY OF ENTERPRISES ECONOMY TO THE POTENTIAL RELATED FACTORIAL ANALYSIS

Аннотация

Industry enterprises potential basis indicator as is studied that's why for him/her modelingbased onanalysis to doWeconsider it necessary . Key words:consequential indicator,correlation ,real indicator From the above analysis, it can be said that the development and economic potential of construction industry enterprises do not depend on a single factor. That is, the economic potential of each construction industry enterprise depends on the indicators of the type of potentialdeveloped inthis enterprise (Table 4.5). Table4.5 Analysis of factors related to the economic potential of the construction industry enterprise "ABBOSSIFAT QURILISH"LLC1 Another Mech Economic Financial Defecation Go away. Innovation​ one nat competence X1 X2 X3 X4 X5 X6 Y X1 1 0.0001 0.0001 -1 -0.866 -0.3273 -0.459 X2 0.0001 1 -1 0.0001 -0.5 -0.9449 -0.8884 X3 0.0001 -1 1 0.0001 0.5 0.9449 0.8884 X4 -1 0.0001 0.0001 1 0.866 0.3273 0.459 X5 -0.8660 -0.5 0.5 0.8660 1 0.7559 0.8418 X6 -0.3273 -0.9449 0.9449 0.3273 0.7559 1 0.9897 Y -0.4590 -0.8884 0.8884 0.4590 0.8418 0.9897 1 Allof theidentified resulting and influencing factors hadastable growth rate during 2010-2021. In order to identify trends in change based onthe relationship between the identified key factors, theabove timeseries datawere analyzed usingtheEViews10 program (Table 4.5). 1Developedbytheauthor. page1709 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue06,2025 Journal: https://www.academicpublishers.org/journals/index.php/ijai Theanalysis carried outon thebasis of the software package shows that themultiplecorrelation of the resulting factor with the influencing factors is r=0.9999 , and the coefficient of determination is R 2=0.9997 . This indicates that the influencing factors and the resulting factor have a high density of correlation, and the residuals, which are the differences between the calculated indicators and the real indicators, are also closely related. The indicators in the table show that the qualitative characteristics of the constructed econometric model and the quality of the correlation of the indicators are at a high level. In particular, the VAR, the Akiake information criterion, the Schwarz criterion, the Hannan-Quinn criterion, which are related to the significance of the Fisher criterion, are located in the normative intervals, only the Durbin-Watson criterion is slightly less than the optimal interval of 2. The reason for this can be attributed to the fact that some factors in the composition of the influencing factors essentially complement each other. Table4.6 Factor correlation properties and key indicators of the quality of a structured factor model2 Dependent Variable: Total volumeof services, Y Method: Least Squares Date: 11/ 09/2 2 Time:16:32 Sample: 20102021 Included observations : 18 Coefficien Variable t Std.Error t-Statistic Probe. Marketing potential of construction industry 0.012020 0.041289 0.291122 0.0526 enterprises X3 Construction industry enterprises' 38.75802 5.475852 7.077989 0.0186 managementcapacity X4 Innovative potential of construction industry 2.792866 1.470812 1.898860 0.0160 enterprises X6 Economic potential of construction industry 10137.56 1835.891 5.521877 0.0237 enterprises Y Mean dependent there106132 . R-squared 0.999872 is 0 2DevelopedbytheauthorbasedoncalculationsintheEViews10program. page1710 INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE ISSN:2692-5206,ImpactFactor:12,23 AmericanAcademicpublishers,volume05,issue06,2025 Journal: https://www.academicpublishers.org/journals/index.php/ijai 63424 . AdjustedR-squared 0.999769 SDdependent there is 75 Akaike information SEof regression 963.6454 criterion 16. 88618 1 7 . Sumsquare residence 4643062. Schwarz criterion 03747 -7 9 . Hannan-Quinn Loglikelihood 43088 critic​ 16. 72021 2. F-statistic 9745.627 Durbin-Watson state 379834​ Test (F-statistic) 0.000000 Using the identified data, a multifactor econometric model of the change in the volume of services created in the service sector of the national economy under the influence of factors affecting it was developed. According to it,theprocess of (1) Thye=re0g,r0e1ss2io∙nx3eq+ua3t8io,7n5(81)∙wx4as+c2o,n7s9tr3uc∙txe6d.−10137,564 Scientific sources provide information that the concept of synergetics is derived from the Greek word “synergetikos” - “cooperation”, “community”, “joint action”. In this regard, G. Haken, in his book “Synergetics”, distinguishes two aspects of the meaning of this concept 3. Firstly, he puts forward the idea that “synergetics” represents the union, the mutual cooperation of elements striving to act together, the emergence of a whole system that organizes itself as a result of joint action. Secondly, he describes his approaches to the fact that “synergetics” is the cooperation and joint activity of scientists working in different fields of science. An analysis of various sources on the term “synergetics” shows that the c