Kompaniyalarda aksiyadorlarning rollari va huquqlarini yaxshilash




Download 5,88 Mb.
Pdf ko'rish
bet7/15
Sana22.05.2024
Hajmi5,88 Mb.
#249763
1   2   3   4   5   6   7   8   9   10   ...   15
Bog'liq
479-495 Qarshiboyeva D JURNAL

Pearson-pairwise correlation
Table [2]
 
Pearson-pairwise correlation is a statistical technique used to measure the 
strength and direction of the linear relationship between two continuous variables. It is 
a commonly used method for assessing the degree to which two variables change 
together.
- The correlation coefficient ranges from -1 to 1. A value of 1 indicates a perfect
positive correlation, -1 indicates a perfect negative correlation, and 0 indicates 
no correlation. 
- The asterisks (*) next to correlation coefficients typically express statistical 
significance: 
Experience 
107 
1.972 
1.004 


Spheres 
107 
1.542 
.501 


Type 
107 
2.187 
1.167 


Offers 
107 
18.393 
12.161 

43 


 
ISSN (E): 2181-4570 ResearchBib Impact Factor: 6,4 / 2023 SJIF 2024 = 5.073/Volume-2, Issue-5 
485 
- *: p < 0.05 - **: p < 0.01 - ***: p < 0.001 
In this provided correlation matrix (Table2), it can be identified the Pearson 
correlation coefficient (r). Here is an interpretation of some of the correlations based 
on the coefficients: 
Interpreting the entire correlation matrix involves looking at the relationships 
between each pair of variables. Here are some key interpretations based on the provided 
correlation coefficients: 
1. “Role”: 
- Strong positive correlation with FDIs (0.4660). 
- Weak negative correlations between opportunities and role with (-0.1148) ,as 
well as, with rights (-0.1850). 
2. “Opportunities”: 
- There is a weak negative correlation with role (-0.1148). 
- And there is a strong positive correlation with transparency (0.9257). 



Download 5,88 Mb.
1   2   3   4   5   6   7   8   9   10   ...   15




Download 5,88 Mb.
Pdf ko'rish

Bosh sahifa
Aloqalar

    Bosh sahifa



Kompaniyalarda aksiyadorlarning rollari va huquqlarini yaxshilash

Download 5,88 Mb.
Pdf ko'rish