br project 24.1.16 (excel)

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  • 7/25/2019 Br Project 24.1.16 (Excel)

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    BUSINESS RESEARCH

    DOES MICROFINANCING ALLEVATE

    POVERTY IN PAKISTAN & INDONESIA?

    GROUP MEMBERS:

    M.AHMAD 39

    MUHAMMAD MAAZ AHMAD 89

    SAAD UR REHMAN 90

    M.YOUSAF NASEEM 105

    CLASS:BBA-1C

    SUBMITTED TO: PROF. HAFIZ WAQAS

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    DESCRIPTIVE STATISTICS

    VARIABLE OBS MEAN STD.DEV MIN MAX

    PHC 14 21.285 5.5834 15.4 34.5

    ANNI 14 5.062 3.6334 1.48 15.43

    EXPEDU 13 2.575 0.4346 1.9 3.22

    EXPHLTH 14 2.9428 0.4166 2.24 3.67

    MFISCOUNT 14 28 15.65 7 58NOABROWERSER 14

    421393.1

    574330.3 1232 1595486

    GLP 146.78E+

    079.43E+

    0761160

    72.73E+0

    8

    BAMOUNT 147.46E+

    071.02E+

    08 02.71E+0

    8

    The Table above describes the outcome of descritive statistics of the stud!. "ere

    #e ca$ see that the mea$ value for 421393 is ma%imum #hich is 421393.3 a$d

    E%e$diture o$ Educatio$ has a mi$imum value of mea$ #hich is 2.575385. The

    &alue of 'ta$dard deviatio$ is mi$imum E%e$diture o$ "ealth #hich is .4166982.

    The mi$imum value is (orro#i$) *mou$t #hich is 0 #hile the ma%imum value is

    o. of *ctive (orro#ers #hich value is 1595486.

    CORRELATION MATRIX

    PHC ANNIEXPEDU

    EXPHLTH

    MFISCOUNT

    NOABROWERSER GLP

    BAMONT

    PHC 1.0000

    ANNI 0.0637 1.0000

    0.8288

    EXPEDU ,0.8647 0.1243 1.0000

    0.0001- 0.6858

    EXPHLTH 0.3462,

    0.1149 ,0.1075 1.0000

    0.2253 0.6957 0.7266

    MFISCOUNT ,0.6314 0.0781 0.6297 0.0335 1.0000

    0.0154- 0.7908 0.0211- 0.9095

    NOABROWERSER 0.3506

    ,0.2398 ,0.1606 0.7841 ,0.3360

    0.2190 0.4089 0.6002 0.0009 0.2401

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    -

    GLP 0.3342,

    0.2253 ,0.1342 0.7967 ,0.3279 0.99431.000

    0

    0.2429 0.4387 0.66210.0006

    - 0.2524 0.0000-

    BAMOUNT 0.3311 ,0.2327 ,0.1536 0.7982 ,0.3358 0.9961 0.9949 1.000

    0.2476 0.4233 0.61650.0006

    - 0.2405 0.0000-0.000

    0-

    (efore )oi$) to further a$al!sis it is )oi$) to obvious to chec the level of

    correlatio$ bet#ee$ the selected set of variables/ the roblem of multicoli$earit!.

    The Table above describes the correlatio$ matri% bet#ee$ all the maor variables

    #hich #ere selected for rese$t stud! a$al!sis. rom above table it ca$ be see$

    that there is $o hi)h de)ree of correlatio$ bet#ee$ all the selected set of variables

    of the stud!. 'o #e have selected all the variables for the further a$al!sis. $ orderto rovide the suleme$tar! evide$ce re)ardi$) correlatio$ a$al!sis varia$ce

    i$atio$ factor has also bee$ calculated #hich is rese$ted belo# i$ the table

    VARIABLE VIF 1/VIF

    (*T 176.20.0056

    754

    *(E'E 167.45

    0.0059719

    :;< 125.010.0079

    994

    E=

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    SIMPLE REGRESSION

    SIMPLE REGRESSION

    PHCCOEFFIC

    ENTP>|t|

    ANNI0.305291

    20.01

    6-

    EXPEDU ,8.396690.00

    2-

    EXPHLTH 9.0881280.00

    2-

    MFISCOUNT

    ,0.150558

    40.10

    -

    NOABROWERSER 2.74E,04

    0.007-

    GLP 4.11E,080.26

    1

    BAMOUNT ,2.15E,070.00

    2-

    _CONS 20.64733 0.01

    The Table above describes the outcomes of Sim!" R"#$"%%i&' M&("! )')!*%i%

    for dee$de$t variable #hich is @overt! head cou$tB of @

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    3

    MFISCOUNT

    ,0.121243

    30.07

    5

    NOABROWER

    SER

    0.000018

    5

    0.19

    7

    GLP 9.79E,080.24

    7

    BAMOUNT ,2.40E,070.00

    7-

    _ICOUNTR,_-,

    11.359720.42

    6

    _CONS 20.652430.01

    6

    The Table above describes the outcomes of ;'?& a$al!sis for dee$de$t variable

    #hich is @overt! head cou$tBof @

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    PHCCOEFFICENT

    P>|t|

    ANNI0.052753

    70.86

    8

    EXPEDU

    ,0.452763

    10.96

    2

    EXPHLTH 4.725630.41

    3

    MFISCOUNT

    ,0.121243

    30.07

    5

    NOABROWERSER

    0.0000185

    0.197

    GLP 9.79E,080.24

    7

    BAMOUNT ,2.40E,07

    0.00

    7-

    _CONS 15.409490.12

    2

    The Table above describes the outcomes of E a$al!sis for dee$de$t variable

    #hich is @overt! head cou$tBof @

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    RANDOM EFFECT MODEL

    RANDOM EFFECT

    PHC COEFFICENT P>|t|

    ANNI0.305291

    20.01

    6-

    EXPEDU ,8.396690.00

    2-

    EXPHLTH 9.0881280.00

    2-

    MFISCOUNT

    ,0.150558

    40.10

    -

    NOABROWER

    SER 0.000274

    0.00

    7-

    GLP 4.11E,080.20

    6

    BAMOUNT ,2.15E,070.00

    2-

    _CONS 20.64733 0.01

    The Table above describes the outcomes of a$dom EHect odel a$al!sis for

    dee$de$t variable #hich is @overt! head cou$tB of @

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    HAUSMAN FIXED RANDOM

    HAUSMAN FIXED RANDOM

    0 B0 B0

    %2$t(i)#V_

    3_B00

    Fi4"(

    R)'(&m

    Di5"$"'6"

    S.E

    ANNI0.05275

    370.30529

    12

    ,0.25253

    75 0.286008

    EXPEDU

    ,0.45276

    31,

    8.396697.94392

    7 8.981031

    EXPHLTH 4.725639.08812

    8

    ,4.36249

    8 4.941445

    MFISCOUNT

    ,0.12124

    33

    ,0.15055

    80.02931

    5 0.0340778

    NOABROWE

    RSER

    0.00018

    5

    0.00002

    74

    ,8.95E,

    06 0.0000102

    GLP9.79E,

    084.11E,

    085.68E,

    08 6.46E,08

    BAMOUNT,2.40E,

    07,2.15E,

    07

    ,2.50E+

    08 2.93E,08

    *s er "ausma$ i%ed ra$dom the

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    COMPARISION OF PEM 7 REM

    COMPARISION OF PRM 7 REM

    VARSD8S2$t V)$0

    PHC 32.682695.71687

    8

    E 0.97749170.98868

    18

    U 0 0

    CHIBAR - 910 8 9.99

    PROB> CHIBAR -8 1.9999

    *s i$ the "ausma$ test #e accet "o @hich is ra$dom eHectB i$ this test #e have

    to select #hether #e have to select