Pilgrim Bank (B) Case Analysis

Indian Institute Of Management, Kozhikode Business Research Methods

Case Analysis – Pilgrim Bank (B) To, Prof. Anandakuttan Unnithan

SUBMITTED BY Name Neelesh Kamath Amit Pratap Raheja

Roll Number EPGP -04C-060 EPGP -04C-008

Pilgrim Bank (B): Customer Retention The effect of Online customers New (off-On)that were added in year 2000 were coded along with Old (On-On)1999 customers from the datasheet .The Profitability of the bank has an established relationship with the Online customers which when increased by creating a dummy variable due to the Nominal type of data that could not be used directly as Independent variable in Multiple Regression techniques. The gross effect was found between the Profitability in 2000 and Customer Retention which covered

Variables Entered/Removed Variables

Variables

Entered

Removed

Model 1

on_on,

Method . Enter 

age_missing, on_off, dummy_1100, off_on, @9tenure, dummy_1200, inc_missing a. All requested variables entered.

Model Summary

Model

R

R Square a

1

.142

 Adjusted R

Std. Error of the

Square

Estimate

.020

.020

386.089

a. Predictors: (Constant), on_on, age_missing, on_off, dummy_1100, off_on, @9tenure, dummy_1200, inc_missing

b

ANOVA Model 1

Sum of Squares Regression

df

Mean Square

F 68.095

81204441.831

8

10150555.229

Residual

3.933E9

26387

149064.556

Total

4.015E9

26395

Sig. a

.000

a. Predictors: (Constant), on_on, age_missing, on_off, dummy_1100, off_on, @9tenure, dummy_1200, inc_missing b. Dependent Variable: @0profit

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Pilgrim Bank (B): Customer Retention

a

Coefficients

Standardized Unstandardized Coefficients Model 1

B (Constant)

Std. Error

31.946

8.856

age_missing

3.171

12.933

inc_missing

25.943

dummy_1100 dummy_1200

Coefficients Beta

t

Sig.

3.607

.000

.003

.245

.806

12.953

.026

2.003

.045

-19.850

10.091

-.015

-1.967

.049

27.291

7.144

.029

3.820

.000

5.926

.280

.130

21.135

.000

off_on

24.423

8.551

.018

2.856

.004

on_off

12.716

21.625

.004

.588

.557

on_on

36.278

7.619

.029

4.762

.000

@9tenure

a. Dependent Variable: @0profit

Profitability= 31.946+ 3.171 age (miss) + 25.943 Income (miss)  – 19.850 dummy _1100 + 27.291 dummy 1200 + 6.926 tenure + 24.423 Off_On + 12.716 On_Off + 36.278 On_On

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