Table 1
Correlation coefficient of factors affecting management efficiency of "Fergana oil-oil" JSC
Y
X1
X2
X3
Y
1
X1
0.779227
1
X2
0.687639
0.574075
1
X3
0.781067
0.649826
0.526122
1
65
AMERICAN Journal of Public Diplomacy and International Studies
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1 above- it can be seen from the data of the table that the resulting factor is all factors
related to the management efficiency of "Fergana oil-oil" JSC, including production costs - X1 (
energy consumption - X2 ( and raw material consumption - X3
𝑟
𝑌,𝑋1
= 0,779227)𝑟
𝑌,𝑋2
=
0,687639)(𝑟
𝑌,𝑋1
= 0,781067)
was found to be correctly connected with average density. Among
the
selected
factors
(𝑟
Х1,𝑋3
= 0,6498 < 0,8; 𝑟
Х1,𝑋2
= 0,5741 < 0,8; (𝑟
Х2,𝑋3
= 0,5261 <
0,8)
conditionally, multicollinearity was not observed, and the process can be continued using
Eviews software, which is now widely used in conducting econometric analyzes (Table 2).
Table 2
The result of checking the regression equation coefficients and quality criteria of changes
in the management efficiency of "Fergana oil-oil" JSC as a result of the influence of
selected factors
Dependent Variable: LNY
Method: Least Squares
Date: 04/24/21 Time: 10:21
Sample: 2008 2020
Included observations: 13
Variable
Coefficient
Std. Error
t-Statistic
Prob.
LNX1
-0.00771
0.216697
-0.03557
0.0311
LNX2
-0.01445
0.147317
-0.0981
0.0069
LNX3
0.350867
0.13009
2.69711
0.0473
C
1.3842
4.851573
0.28531
0.0191
tjad=2.262157
R-squared
0.924230
There is a mean dependent
4.155419
Adjusted R-squared
0.767693
SD dependent
0.386273
SE of regression
0.417406
Akaike info criterion
1.338143
Sum squared resid
1.568047
Schwarz criterion
1.511974
Log likelihood
-4.697932
Hannan-Quinn criterion.
1.302413
F-statistic
65.42555
Durbin-Watson stat
1.961808
Prob(F-statistic)
0.000074
Fjad=8.8123
2 above- according to the data of the table, taking into account that there is a large
difference between the indicators of the selected factors and the indicator of management
efficiency, we logarithmized the indicator of the factors. According to these values, only from the
parameters
𝑡
Х3
= 2.697
according to the inequality since
𝑡
жад
< 𝑡
Х3
raw material consumption ‒
X3the significance of the parameter is derived. In fact, the rest of the parameters are insignificant
or insignificantMAPE<10 is checked by the criteria of very close reliability (Mean Absolute
Percentage Error) and TIC<1 (Tayl inequality coefficient - an alternative measure of Tayl forecast
accuracy) (1- picture).
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