Science and Education in Karakalpakstan issn 2181-9203 Science Magazine chief editor


Table 1  Results of correlation analysis



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Table 1 
Results of correlation analysis 

AGRVD ARFF 
IND CON 
TR 
TRST ACFS INCOM HSS OTH 
AGRVD 
1,00 
ARFF 
0,88 
1,00 
IND 
0,91 
0,99 
1,00 


Science and Education in Karakalpakstan. 2023 №2/1 ISSN 2181-9203 
98 
CON 
0,92 
0,98 
1,00 
1,00 
TR 
0,86 
0,99 
0,98 
0,96 
1,00 
TRST 
0,95 
0,97 
0,99 
0,99 
0,96 
1,00 
ACFS 
0,92 
0,99 
1,00 
1,00 
0,98 
0,99 
1,00 
INCOM 
0,83 
0,99 
0,96 
0,95 
1,00 
0,94 
0,96 
1,00 
HSS 
0,49 
0,77 
0,70 
0,67 
0,82 
0,64 
0,70 
0,84 
1,00 
OTH 
0,93 
0,98 
0,99 
0,99 
0,97 
1,00 
1,00 
0,95 
0,66 
1,00 
Here: 
AGRVD – real value of added value of agriculture, forestry and fishing billion soums, 
ARFF – number of operating enterprises and organizations in agriculture, forestry and fisheries, 
IND - number of operating enterprises and organizations in industry, CON - number of operating 
enterprises and organizations in construction, TR - number of operating enterprises and 
organizations in trade, TRST - number of operating enterprises and organizations in transportation 
and storage, ACFS - number of operating enterprises and organizations in accommodation and 
food services, INCOM - number of operating enterprises and organizations in
information and 
communication, HSS - number of operating enterprises and organizations in health and social 
services, OTH - number of operating enterprises and organizations in other types. 
Based on results of correlation analysis number of operating enterprises and organizations 
by sectors of the economy has a strong correlation with real value of added value of agriculture, 
forestry and fishing. Especially, number of operating enterprises and organizations in trade and 
storage (0,95), other sectors (0,93), accommodation and food services (0,92), and industry (0,91).
To make quantitative assessment of the effect of number of operating enterprises and 
organizations abovementioned sectors conducted regression analysis. For estimation used 
logarithmic function and simple regression function since there is high correlation between the 
factors (table 2). 

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