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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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3. “FDIs (Foreign Direct Investments)”:
- Strong positive correlation with role (0.4660).
- Weak positive correlation with opportunities (0.0146).
4. “Rights”:
- Strong negative correlation with transparency (-0.2082).
- Weak negative correlations with opportunities (-0.1267) and role (-0.1913).
5. “Transparency”:
- Strong positive correlation with gender (0.0934).
- Strong negative correlation with rights (-0.2082).
6. “Gender”:
- Strong positive correlation with transparency (0.0934).
- Weak positive correlations with opportunities (0.0959) and role (0.0941).
7. “Educational Level”:
- No strong correlations with other variables (highest absolute correlation is
with experience at -0.0928).
8. “Experience”:
- Strong positive correlation with transparency (0.2171).
- Weak positive correlations with age (0.1578) and FDIs (0.1578).
9. “Age”:
- Strong positive correlations with transparency (0.6492) and FDIs (0.2794).
- Weak positive correlations with spheres (0.0747) and role (0.2077).
10. “Spheres”:
- Weak negative correlation with type (-0.1543).
- Weak positive correlation with age (0.0747) and experience (0.2236).
11. “Type”:
- Strong negative correlation with transparency (-0.2228).
- Weak negative correlation with role (-0.2865) and FDIs (-0.2784).
These interpretations provide a general overview of the relationships between the
variables in your database based on the Pearson correlation coefficients. The strength
and direction of these associations can help you understand how the variables interact
and influence each other within your specific context or study.
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