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Pages:
9 pages/≈2475 words
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Level:
Other
Subject:
Mathematics & Economics
Type:
Statistics Project
Language:
English (U.S.)
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Date:
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Topic:

Regression Analysis of the Banks (Statistics Project Sample)

Instructions:

The regression analysis was required to done for the given data. I had to calculate and interpret the result of the regression based on the calculations.
There were four banks MAINLY pubali bank, dhaka bank, south east commercial bank and uttara bank limited. i had to calculate the data and complete the task according to the given requirement.

source..
Content:
DHAKA BANK LIMITED Regression Analysis per Share:
1. Interpretation of data:
Output ( Y)

Input ( X)

Market Cap

P.Shr=MktCap/I.Shr

In this data we have taken Market data as an dependent variable (y) and Price of per share as (x) Independent Variables. The data is very much scattered and the regression is 0.176011003 means it is 17.60 %, the linkage between the x and y variables which Multiple R shows is 0.41% which is also not satisfactory. The Value of Correlation Coefficient is 0.41 which is to some extent will be marked as negative. There were in total 7 observations which had the S.E of 4417993124. It clearly shows that the Market is showing mixed signs and they have a certain relationship with the price of the shares, Market trend is quite strange because when the price of the share is high we observe high trading and market data increased by Rs.10287324097.
Regression Statistics

Multiple R

0.419536653

R Square

0.176011003

Adjusted R Square

0.011213204

Standard Error

4417993124

Observations

7

2. Interpretation of data:
Input ( X)

Output ( Y)

P.Shr=MktCap/I.Shr

ISSUEDSHARE

In this data we have taken Issued Share as an dependent variable (y) and Price of per share as (x) Independent Variables. The data is very much scattered and the regression is 0.84 means it is 84.01%, the linkage between the x and y variables which Multiple R shows is .91% which is very much good. The Value of Correlation Coefficient is 0.91 which is to some extent will be marked as positive relation. There were in total 7 observations which had the S.E of 100287826 It clearly shows that the Market is showing vital signs for the investors and they have a certain relationship with the price of the shares, When the price of shares falls to 18.30 the trading of shares shown as per record is about 568512964 Shares. So the capital of the company has also increased, but people bought more shares when the price decreased in order to stable the market.
Regression Statistics

Multiple R

0.917096409

R Square

0.841065824

Adjusted R Square

0.809278988

Standard Error

100287826

Observations

7


3. Interpretation of data:
Output ( Y )

Input ( X)

MPSES=Market Data / Social & Environmental Sustainability

P.Shr=MktCap/I.Shr

In this data we have taken (MPES means Market Data/Social & Environmental Sustainability) as a dependent variable (y) and Price of per share as (x) Independent Variables. The data is very much out of order and the regression is 0.045 means it is 4.5%, the linkage between the x and y variables which Multiple R shows is .21 which is very much poor. The Value of Correlation Coefficient is 0.21. There were in total 7 observations which had the S.E of 3529811547.It clearly shows that the Market is not showing vital signs for the investors and they don’t have a certain relationship with the price of the shares, When the price of shares falls to 18.30 the Social and environmental sustainability was also hit down shown as per record is about 165.6654019, which is the lowest amongst all years.
Regression Statistics

Multiple R

0.213220398

R Square

0.045462938

Adjusted R Square

-0.145444474

Standard Error

352.9811547

Observations

7

4. Interpretation of data:
Output ( Y )

Input ( X)

MDES=Market Data/Economic Sustainability

P.Shr=MktCap/I.Shr

In this data we have taken (MPES means Market Data/Economic Sustainability) as a dependent variable (y) and Price of per share as (x) Independent Variables. The data is very much out of order and the regression is 0.0021 means it is 0.2%, the linkage between the x and y variables which Multiple R shows is 0.046 which is very much poor. The Value of Correlation Coefficient is 0.046 which is to some extent will be marked as negative relation between them. There were in total 7 observations which had the S.E of 1.873637066.It clearly shows that the Market is not showing any positive or encouraging signs for the investors and they don’t have a certain relationship with the price of the shares, When the price of shares falls to 18.30 the MDES falls to 3.26 because the market capital has the direct relation with economic sustainability but it was recorded as the lowest trade of all years just because of the economic crisis and recession.
Regression Statistics

Multiple R

0.046427782

R Square

0.002155539

Adjusted R Square

-0.197413353

Standard Error

1.873637066

Observations

7

5. Interpretation of data:
Output ( Y )

Input ( X)

MDFS=Market Data/Financial Sustainability

P.Shr=MktCap/I.Shr

In this data we have taken (MDFS means Market Data/Financial Sustainability) as a dependent variable (y) and Price of per share as (x) Independent Variables. The data can be said average and not much out of order and the regression is 0.374 means it is 37.4%, the linkage between the x and y variables which Multiple R shows is 0.611 which is more than satisfactory. The Value of Correlation Coefficient is 61.1% which is to some extent will be marked as a sign of positive impact and relation between them. There were in total 7 observations which had the S.E of 2.950731272.Thus it can be observed clearly that Market showing positive or encouraging signs for the investors and they don’t have a certain relationship with the price of the shares, When the price of shares increases to 483.50 in 2009 the Market has the boom and it was recorded about 10.72 % as long as Financial sustainability consist. So it can be understood that Market is influenced by good financial conditions and pricing of the...
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