1.
Statistical Application Analysis On Dhaka Bank _______________________________________

2.
Dhaka bank limited
Dhaka Bank Limited is a private-owned commercial bank in Bangladesh.
It has Authorized Capital of Tk. 1,000 million and Paid-up Capital of Tk. 100 million.
It has 54 Branches, 4 SME Service Centers, 5 CMS Units & 2 offshore Banking Units
It offers the full range of real-time online banking services through its all Branches, ATMs and Internet Banking Channels.

3. Input of spss We used Independent Variable Dependent Variable Deposit
Input of spss
We used
Independent Variable
Deposit
Investment
Fixed Asset
Dependent Variable
Total Asset

4. Descriptive statistics
Descriptive statistics
Mean
Std.Deviation
Variance
Total Asset
Investment
Fixed Asset
Deposit
459.20
300.63

5. MULTIPLE REGRATION EQUATION

6. Formula of Multiple Regression Equation:
Ŷ=a+b₁x₁+b₂x₂+b₃x₃ Here, a= constant X₁=Deposit X₂=Investment X₃=Fixed asset

7. SPSS Output of Multiple Regression Equation:
Predictor
Coef
SE coef T
Constant
4.578
Deposit
1.284
.176
7.282
Investment
1.286
.909
1.415
Fixed Assets
6.817
2.652
2.570
Ŷ= x1+1.29x2+6.82x3
Total Asset= Deposit+1.29Investment+6.82Fixed Asset

8. Coefficient of Multiple Determination

9. Characteristics of Coefficient of Multiple Regression
It is symbolized by a capital R squared.
It can range from 0 to 1
It cannot assume negative values.
It is easy to interpret

10. R² = = 1 www.assignmentpoint.com R²
R² measures how much in percent dependent variable is explained by independent variable
R² =
= 1

11. R²adj = 1- ÷ = .99 www.assignmentpoint.com Adjusted R²
Adjusted R² is the measurement by which the variation of dependent variable can be explained
R²adj = ÷
= .99

12. Interpretation
Here R² is 1and Adjusted R² is .99, which is less than R²
R² is 1 so it means association between dependent and independent variables are strong
Only 1% of the variation if the estimation can not be explained through the adjustment of degrees of freedom

13.
Global Test: ANOVA
We can test the ability of the independent variables x1 ,x2, x3…xk to explain the behavior of the dependent variable Y.
Basically, it investigates whether it is a possible all the independent variables have zero regression equation.

14. ANOVA Test Step 1 : State the null and alternate hypothesis:
The null hypothesis is:
The independent variables have less significant effect on dependent variable
Ho: β1=β2=β3=0
The alternative hypothesis is:
The independent variables have significant effect on dependent variable.
H1: β1 ≠ β2 ≠ β3≠ 0

15. Continued… Step 2: Select the level of significance:
We will use .05 significance level
Step 3: Determine the test statistics:
The test statistics follows the F distribution F=

16. Continued… Step 4: Formulate the decision rule:
The decision rule is reject Ho >216
The critical value of F is found in Appendix B.4.It is 216.
The degrees of freedom for numerator is 3;
The degrees of freedom for denominator is 1, found by n-(k+1); 5-(3+1).
Step 5: Perform calculations and make a decision:
The value of F is : F= =
=968.70

17. Independent variables have significant effect on dependent variable
ANOVAb
Model
Sum of Squares df
Mean Square F
Sig. 1
Regression
1.120E9 3
3.732E8
.024a
Residual
Total 4
Particulars
Calculated Value
Null Hypothesis
Comment
F test
> 216
Rejected
Independent variables have significant effect on dependent variable

18. Variables for T-Test Dependent Variables Independent Variables
Total Asset
Deposit
Investment
Fixed Asset

19. SPSS Input (Data variables)
year
Total asset
Deposit
Investment
Fixed asset
2006
217.00
2007
291.00
2008
387.00
2009
424.00
2010
977.00

20. Unstandardized coefficients Standardized coefficients
SPSS Output of T-Test
Model
Unstandardized coefficients
Standardized coefficients t
sig B
Std.Error
Beta
(Constant)
Deposit
Investment
Fixed asset
1.284
1.286
6.817
.176
.909
2.652
.788
.112
.122
-4.578
7.282
1.415
2.570
.137
.087
.392
.236

21. Conducting T-Test The decision rule is reject Ho >12.706
The null hypothesis for three independent variables is:
Ho: β1=0; β2=0; β3 =0
The alternative hypothesis is:
H1: β1 ≠0; β2 ≠0; β3≠0
We will use .05 level of significance
The decision rule is reject Ho >12.706
The value of t is found from the following equation:
ti=bi - 0/sbi

22. Comparison of value Critical Value is: t=12.706 Calculated values are:
t1(Deposit)=7.20>12.706=Null hypothesis accepted
t2(Investment)=1.40<12.706=Null hypothesis accepted
t3(Fixed asset)=2.57>12.706=Null hypothesis accepted

23. Less Significant effect on Total deposit
Conclusion
Variables
Calculated value
Null hypothesis
Conclusion
Deposit
7.20>2.120
Accepted
Less Significant effect on Total deposit
Investment
1.40<2.120
Fixed asset
2.57>2.120