$FL2@(#) IBM SPSS STATISTICS 64-bit MS Windows 21.0.0.0 dY@16 Jun 1523:12:55Bank Loan Default AGE Age in yearsEDUCATIOLevel of education YEAR_EMPYears with current employer INCOME Household income in thousands DEBT_INCDebt to income ratio (x100) CRED_DEBCredit card debt in thousands OTHER_DEOther debt in thousands LOAN Loan approved by a bank INCOME_IV10_A V11_A V12_A V13_A   PRE_1 Predicted probability PGR_1 Predicted group ?Did not complete high school @High school degree @College degree @Post-undergraduate degree No ?Yes DOCUMENT This is a hypothetical data file that concerns a bank's efforts to reduce the rate of loan defaults. The file contains financial and demographic information on 850 past and prospective customers. The first 700 cases are customers who were previously given loans. The last 150 cases are prospective customers that the bank needs to classify as good or bad credit risks. (Entered 17-Jul-2004)  -     AGE=age EDUCATIO=education YEAR_EMP=year_emp INCOME=income DEBT_INC=debt_income CRED_DEB=cred_debt OTHER_DE=other_debt LOAN=Loan INCOME_I=income_inv V10_A=other_debt_lg10 V11_A=debt_income_sqrt V12_A=cred_debt_lg10 V13_A=year_emp_sqrt PRE_1=PRE_1 PGR_1=PGR_1d[age:$@Role('0' )/education:$@Role('0' )/year_emp:$@Role('0' )/income:$@Role('0' )/debt_income:$@Role('0' )/cred_debt:$@Role('0' )/other_debt:$@Role('0' )/Loan:$@Role('0' )/income_inv:$@Role('0' )/other_debt_lg10:$@Role('0' )/debt_income_sqrt:$@Role('0' )/cred_debt_lg10:$@Role('0' )/year_emp_sqrt:$@Role('0' )/PRE_1:$@Role('0' )/PGR_1:$@Role('0' ) windows-1250;ezd@+MJA?Ji@dH?e|?VTY@P?VTY@ʇj?ezd @??\ AcL@X0Ҏ?de}?ml[?oYrɿVTY@/(@?td433333 @ ?;jL?qq? )v?hdet*?ҖŌ悢?d?^ Pj?7¢"N'?p \?c[IHb=?hde~y>S@?ۤ?d)@d`T@8gDio @{Gz?+ME?% @'?de|n/_ee@G^?do@N@a@?'0^#?S[:XL @x?.! @deqi`?@%䃞?dz):K?AA?[_>^έ?lv@5m[׿YaD+ @|:d?deth|?yt?dfhd3?ͱ?jB ?#$؅?erd@9}?^'ei?dк?"?gfmI?h @ؖh?esd433333@E@{G??de㵿)t.! @@ٌt?emd333333@>G3?f||?|?gde|uD@ܩrt@iRDRĿ?jxd333333?UwE?c('UH??ڈZdeort?.! @nVѧ?yd&@GC??aa?RB@?+ @dek{C2;ߣ4or @RƬ?d#@?>I?d! YB?ΜAl? A @M8deoҩ*@<&Є?%@dQn@Eu@W+ɕ? 2T?-'i @'!-q>?4or @deewP?@J??debJ?(?@R̿Vj@m@s<?dej1@i?&p@dd?Q?Vj@͸rcL?.! @ k?epdffffff5@/K@0!@d|?Y?[-J @ѽGx?LXz @¹,?efyd333333?k?PMIֹ?aa?de{4Hr?~?ǜ;f?vC?hd@}? Uj@?(?yKw?fdyei/_ee@3+;?c ^0?}mdgFx?n!?{Gz?ٱ?deg{B=#\ۿw@RX?d"@<ڨ?V%}?d! YB?x`ϼՎ?-pe@KE?d|efvjLXz?)XK?d [? >?qq?Yп.! @ѿ;f?dee~֠^x?,@7?de;?;;?LWGX?@@Z?=}̲?defffffff@vfG?2O)?dd$I$I?ztRb?^,Q@Qu;f? 8?ejyd2@x!? c@daa?V?@u/?.! @h('k?eh|d333333@"M?Ή=?UUUUUU?fde[ǭb?^bW@C Kͯ䎾H?gumd&?i??j?gd|ee_տLXz?{-f?xdgfffff@e6?n9⪲??V4BӿraI2@edei}6oC߿hL0l7?d233333,@-!l?#@{Gz?ott?ױ; @O)^&?d|eetw@y*?e%@|s@s ]@@;ڼOqɐ?R<|?t/jJ @?dei~lv@^=б?333333?eupx? $>?;;?rt?g5O쿨w@deeyWVڸ?@v?eeHr?aa?積cS[:XL?XLr?dxehrgfffff#@>w׹?.5#?efd$I$I?37?=Du@&HL P?eme1@rt@Qi>@gdll?VZ?]cB@(նh ?͆_?ese333338@W~@ M @AA?de8Ox?/@ ?NO@V@?de333333&@;4,F]?bFx;@?BWa?ddep:U@ @1?0?e9@}eD@2p"@?X?: @eer/sٓ?LXz @c77U5?efffffD@G.@Jp-@qq?x?h@f.??efrI?h @tR??d~?8i??׆S_A%?k"տI?h @dfmy?@ܚt[?dgrdPS@ہv`?RG?@?ÿm!?dfj333333#@P?g?@ddh/?ؼ?Hr?~@-?cʿ.! @: #h?flvd'@ >?{?dqq?@#?Aoۘ @?0@nٿ;f@ĶJm0?fid433333 @9b->?Zѝ??df4,'А?*? Lܿw@7['ź?hsd@Af?):??zW?,!ʿfdfo/_ee@cI{-ݿ_TB?d433333@o@1[*@??Qև@d~fl"K?4or @?_?d'@x@e?BL@?V1?Rql{ @iThֿdfl;f@rN?@d$@@Rq@AA?r ?/7@% K\?;f@dfi}7X?ffffff$@H.!?dQI&B@{Gz?bT^?LɌ @nMٿw@C?dfk.@lyzی@A@ddAA?(7?~d@ð=R?ҩ*@m}a?~fdd"@9 U?QT?dd$I$I?'0)?-pe@1󌺣?*H?fzd7@X#@^)K@O贁N?dfc?e1@XSh?vŌ @UUUUUU?G?[ u@^|].?ed{fdu W?43333;@edY@!R@?܋uwh??tBd @z(r8?egupJ_g?? @d ]$@x!?[[ ?LXz @["?f~@9 =X?egn$@GĔH?wb֋@ddAA?W[? @]kwr3?S[:XL @ֺ1?gjdgfffff@ ?