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ISSN (E): 2181-4570 ResearchBib Impact Factor: 6,4 / 2023 SJIF 2024 = 5.073/Volume-2, Issue-5Bog'liq 479-495 Qarshiboyeva D JURNAL
ISSN (E): 2181-4570 ResearchBib Impact Factor: 6,4 / 2023 SJIF 2024 = 5.073/Volume-2, Issue-5
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- interpretation: The coefficients denote the estimated effects of the independent
factors on the dependent variable in the model.
- P values (P greater than |t|): These values represent the statistical significance
of each parameter. A low p-value means the variable is statistically significant.
3.Interpretation of individual coefficients:
Opportunity for being shareholders (2, 3, 4, 5): These coefficients indicate
the impact of opportunities on the dependent variable across categories.
Transparency (2, 3, 4, 5): Increasing transparency significantly increases
the values of the dependent variable, as demonstrated by positive coefficients.
Rights (low, medium): Probability values (>0.05) do not indicate
significance for the rights.
Foreign direct investment (21-40, 41-60, 61-80, 81-90, 91-100): Each
type of foreign direct investment has various effects on the dependent variable, but they
are not statistically significant (p value > 0.05).
Gender (Male): As a man The effect of age (24-29, 30-35, others) on the
dependent variable looks negative but not statistically significant.
Education levels (PhD, Bachelor's, Master's, etc.) do not appear to have
substantial effects.
Experience (11-15, 6-10, other): No significant impacts were observed
across different trial categories.
Spheres (service): Service sector does not significantly impact the
dependent variable.
In essence, this regression model shows that transparency and some specific
criteria have a significant influence on the dependent variable, whereas other factors,
such as rights, FDI, gender, age, education level, experience, fields, and possibly
gender, do not appear to have a statistical effect and significant impact.
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