Analysis of economic indicators of developing of small business using econometric models
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Эконометрик моделлардан фойдаланиб кичик бизнес ривожланишин таржимаси
The regression equation is the formula for the statistical relationship between variables. If this formula is linear, linear regression will be observed. The formula of the statistical relationship between two variables is called even regression, and the relationship among several variables is called multivariate regression.
The correlation index R is used to estimate the connection density among even factors. The correlation coefficient can be used to determine the density of linear connections. A negative value of the correlation coefficient r indicates that there is the inverse relationship among the phenomena [3]. We consider the regression analysis of a number of factors (X1, X2, X3) which affect the output factor (Y) which is produced by small businesses and private entrepreneurs on the basis of the data of the Regional Statistics Office. Regression analysis is performed on the basis of the following table data (Table 1):
Analysis of factors which influence the volume of products which are produced by small businesses and private entrepreneurs in Karshi city
* Compiled by the author on the basis of data from the Regional statistics department. In the analysis of the data of Table 1, the volume of products which are produced by small businesses and private entrepreneurs is taken as (Y). Investments in small business and private entrepreneurship (thousand soums) X1, number of people engaged in small business and private entrepreneurship X2, number of small business and private entrepreneurship X3, are taken as influencing factors. On the basis of the data in the table, calculations are performed and the following regression analysis results are obtained. (Table 2): Table 2 Results of regression analysis
As we can see from the amount of coefficient of the analysis of results which are obtained in Table 2 that when the investment in small business and private entrepreneurship in Karshi city increased by 1%, it is led to increase the average volume of products which are produced by small business and private entrepreneurship by 1,2%, the number of people who work in small business and private entrepreneurship by 1% when increase in the volume of products which are produced by small businesses and private entrepreneurship other factors do not change, the increase in the number of small businesses and private entrepreneurship by 1% when the other factors do not change, increase in the volume of products which are produced by small businesses and private entrepreneurship by average of 0,006%. When each factor which influences the volume of products which are produced by small businesses and private entrepreneurship in Karshi city, is analyzed individually, and the others are considered unchanged, the biggest influenced factor is considered the share of investment in small business and private entrepreneurship. In this case, we can express the regression equation which represents the correlation bond between the resulting factor with the influencing factors on the basis of data of Table 2 and using the method of "The smallest squares" as follows:
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