IBM SPSS Web Report - Bankloan.spv Contents
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  FILE='C:\efrayer\spss\SPSS_Eric_Data\bankloan.sav'.
DATASETÂ NAMEÂ DataSet1Â WINDOW=FRONT.
SETÂ SEED=9191972.
IFÂ Â (MISSING(default)Â =Â 0)Â validate=rv.bernoulli(0.7).
EXECUTE.
LOGISTICÂ REGRESSIONÂ VARIABLESÂ default
  /SELECT=validate EQ 1
  /METHOD=FSTEP(LR) age ed employ address income debtinc creddebt othdebt
  /CONTRAST (ed)=Indicator
  /SAVE=PRED COOK SRESID
  /CLASSPLOT
  /PRINT=GOODFIT
  /CRITERIA=PIN(0.05) POUT(0.10) ITERATE(20) CUT(0.5).
[DataSet1] C:\efrayer\spss\SPSS_Eric_Data\bankloan.sav
Unweighted Casesa | N | Percent | |
Selected Cases | Included in Analysis | 499 | 58.7 |
Missing Cases | 0 | .0 | |
Total | 499 | 58.7 | |
Unselected Cases | 351 | 41.3 | |
Total | 850 | 100.0 | |
a. If weight is in effect, see classification table for the total number of cases. | |||
Original Value | Internal Value |
No | 0 |
Yes | 1 |
Frequency | Parameter coding | |||||
(1) | (2) | (3) | (4) | |||
Level of education | Did not complete high school | 266 | 1.000 | .000 | .000 | .000 |
High school degree | 134 | .000 | 1.000 | .000 | .000 | |
Some college | 69 | .000 | .000 | 1.000 | .000 | |
College degree | 25 | .000 | .000 | .000 | 1.000 | |
Post-undergraduate degree | 5 | .000 | .000 | .000 | .000 | |
Observed | Predicted | ||||||||
Selected Casesc | Unselected Casesd,e | ||||||||
Previously defaulted | Percentage Correct | Previously defaulted | Percentage Correct | ||||||
No | Yes | No | Yes | ||||||
Step 0 | Previously defaulted | No | 375 | 0 | 100.0 | 142 | 0 | 100.0 | |
Yes | 124 | 0 | .0 | 59 | 0 | .0 | |||
Overall Percentage | 75.2 | 70.6 | |||||||
a. Constant is included in the model. | |||||||||
b. The cut value is .500 | |||||||||
c. Selected cases validate EQ 1 | |||||||||
d. Unselected cases validate NE 1 | |||||||||
e. Some of the unselected cases are not classified due to either missing values in the independent variables or categorical variables with values out of the range of the selected cases. | |||||||||
B | S.E. | Wald | df | Sig. | Exp(B) | ||
Step 0 | Constant | -1.107 | .104 | 114.122 | 1 | .000 | .331 |
Score | df | Sig. | |||
Step 0 | Variables | Age in years | 9.486 | 1 | .002 |
Level of education | 6.822 | 4 | .146 | ||
Level of education(1) | 6.312 | 1 | .012 | ||
Level of education(2) | 1.776 | 1 | .183 | ||
Level of education(3) | 2.122 | 1 | .145 | ||
Level of education(4) | .721 | 1 | .396 | ||
Years with current employer | 39.958 | 1 | .000 | ||
Years at current address | 12.634 | 1 | .000 | ||
Household income in thousands | 6.683 | 1 | .010 | ||
Debt to income ratio (x100) | 64.314 | 1 | .000 | ||
Credit card debt in thousands | 25.348 | 1 | .000 | ||
Other debt in thousands | 5.559 | 1 | .018 | ||
Overall Statistics | 135.024 | 11 | .000 | ||
Chi-square | df | Sig. | ||
Step 1 | Step | 61.544 | 1 | .000 |
Block | 61.544 | 1 | .000 | |
Model | 61.544 | 1 | .000 | |
Step 2 | Step | 50.712 | 1 | .000 |
Block | 112.256 | 2 | .000 | |
Model | 112.256 | 2 | .000 | |
Step 3 | Step | 35.747 | 1 | .000 |
Block | 148.003 | 3 | .000 | |
Model | 148.003 | 3 | .000 | |
Step 4 | Step | 16.832 | 1 | .000 |
Block | 164.835 | 4 | .000 | |
Model | 164.835 | 4 | .000 | |
Step | -2 Log likelihood | Cox & Snell R Square | Nagelkerke R Square |
1 | 498.012a | .116 | .172 |
2 | 447.301b | .201 | .299 |
3 | 411.553b | .257 | .381 |
4 | 394.721c | .281 | .417 |
a. Estimation terminated at iteration number 4 because parameter estimates changed by less than .001. | |||
b. Estimation terminated at iteration number 5 because parameter estimates changed by less than .001. | |||
c. Estimation terminated at iteration number 6 because parameter estimates changed by less than .001. | |||
Step | Chi-square | df | Sig. |
1 | 3.292 | 8 | .915 |
2 | 11.866 | 8 | .157 |
3 | 9.447 | 8 | .306 |
4 | 4.027 | 8 | .855 |
Previously defaulted = No | Previously defaulted = Yes | Total | ||||
Observed | Expected | Observed | Expected | |||
Step 1 | 1 | 46 | 46.977 | 6 | 5.023 | 52 |
2 | 50 | 47.658 | 4 | 6.342 | 54 | |
3 | 44 | 43.998 | 7 | 7.002 | 51 | |
4 | 43 | 43.806 | 9 | 8.194 | 52 | |
5 | 39 | 39.197 | 9 | 8.803 | 48 | |
6 | 40 | 39.103 | 10 | 10.897 | 50 | |
7 | 34 | 36.635 | 16 | 13.365 | 50 | |
8 | 37 | 34.147 | 14 | 16.853 | 51 | |
9 | 27 | 29.263 | 24 | 21.737 | 51 | |
10 | 15 | 14.216 | 25 | 25.784 | 40 | |
Step 2 | 1 | 50 | 48.725 | 0 | 1.275 | 50 |
2 | 46 | 47.071 | 4 | 2.929 | 50 | |
3 | 48 | 45.398 | 2 | 4.602 | 50 | |
4 | 46 | 43.896 | 4 | 6.104 | 50 | |
5 | 35 | 41.721 | 15 | 8.279 | 50 | |
6 | 41 | 39.139 | 9 | 10.861 | 50 | |
7 | 34 | 36.235 | 16 | 13.765 | 50 | |
8 | 34 | 32.467 | 16 | 17.533 | 50 | |
9 | 26 | 26.013 | 24 | 23.987 | 50 | |
10 | 15 | 14.336 | 34 | 34.664 | 49 | |
Step 3 | 1 | 50 | 49.587 | 0 | .413 | 50 |
2 | 49 | 48.455 | 1 | 1.545 | 50 | |
3 | 48 | 46.903 | 2 | 3.097 | 50 | |
4 | 43 | 45.066 | 7 | 4.934 | 50 | |
5 | 44 | 42.350 | 6 | 7.650 | 50 | |
6 | 42 | 39.556 | 8 | 10.444 | 50 | |
7 | 29 | 35.715 | 21 | 14.285 | 50 | |
8 | 31 | 31.040 | 19 | 18.960 | 50 | |
9 | 29 | 24.589 | 21 | 25.411 | 50 | |
10 | 10 | 11.740 | 39 | 37.260 | 49 | |
Step 4 | 1 | 50 | 49.778 | 0 | .222 | 50 |
2 | 49 | 48.995 | 1 | 1.005 | 50 | |
3 | 47 | 47.549 | 3 | 2.451 | 50 | |
4 | 45 | 45.495 | 5 | 4.505 | 50 | |
5 | 46 | 42.992 | 4 | 7.008 | 50 | |
6 | 39 | 39.783 | 11 | 10.217 | 50 | |
7 | 32 | 35.801 | 18 | 14.199 | 50 | |
8 | 33 | 30.474 | 17 | 19.526 | 50 | |
9 | 24 | 23.443 | 26 | 26.557 | 50 | |
10 | 10 | 10.689 | 39 | 38.311 | 49 | |
Observed | Predicted | ||||||||
Selected Casesb | Unselected Casesc,d | ||||||||
Previously defaulted | Percentage Correct | Previously defaulted | Percentage Correct | ||||||
No | Yes | No | Yes | ||||||
Step 1 | Previously defaulted | No | 361 | 14 | 96.3 | 137 | 5 | 96.5 | |
Yes | 100 | 24 | 19.4 | 45 | 14 | 23.7 | |||
Overall Percentage | 77.2 | 75.1 | |||||||
Step 2 | Previously defaulted | No | 351 | 24 | 93.6 | 136 | 6 | 95.8 | |
Yes | 80 | 44 | 35.5 | 36 | 23 | 39.0 | |||
Overall Percentage | 79.2 | 79.1 | |||||||
Step 3 | Previously defaulted | No | 348 | 27 | 92.8 | 135 | 7 | 95.1 | |
Yes | 72 | 52 | 41.9 | 28 | 31 | 52.5 | |||
Overall Percentage | 80.2 | 82.6 | |||||||
Step 4 | Previously defaulted | No | 352 | 23 | 93.9 | 130 | 12 | 91.5 | |
Yes | 67 | 57 | 46.0 | 27 | 32 | 54.2 | |||
Overall Percentage | 82.0 | 80.6 | |||||||
a. The cut value is .500 | |||||||||
b. Selected cases validate EQ 1 | |||||||||
c. Unselected cases validate NE 1 | |||||||||
d. Some of the unselected cases are not classified due to either missing values in the independent variables or categorical variables with values out of the range of the selected cases. | |||||||||
B | S.E. | Wald | df | Sig. | Exp(B) | |||
Step 1a | Debt to income ratio (x100) | .121 | .017 | 52.676 | 1 | .000 | 1.129 | |
Constant | -2.476 | .230 | 116.315 | 1 | .000 | .084 | ||
Step 2b | Years with current employer | -.140 | .023 | 38.158 | 1 | .000 | .869 | |
Debt to income ratio (x100) | .134 | .018 | 54.659 | 1 | .000 | 1.143 | ||
Constant | -1.621 | .259 | 39.038 | 1 | .000 | .198 | ||
Step 3c | Years with current employer | -.244 | .033 | 54.676 | 1 | .000 | .783 | |
Debt to income ratio (x100) | .069 | .022 | 9.809 | 1 | .002 | 1.072 | ||
Credit card debt in thousands | .506 | .101 | 25.127 | 1 | .000 | 1.658 | ||
Constant | -1.058 | .280 | 14.249 | 1 | .000 | .347 | ||
Step 4d | Years with current employer | -.247 | .034 | 51.826 | 1 | .000 | .781 | |
Years at current address | -.089 | .023 | 15.109 | 1 | .000 | .915 | ||
Debt to income ratio (x100) | .072 | .023 | 10.040 | 1 | .002 | 1.074 | ||
Credit card debt in thousands | .602 | .111 | 29.606 | 1 | .000 | 1.826 | ||
Constant | -.605 | .301 | 4.034 | 1 | .045 | .546 | ||
a. Variable(s) entered on step 1: Debt to income ratio (x100). | ||||||||
b. Variable(s) entered on step 2: Years with current employer. | ||||||||
c. Variable(s) entered on step 3: Credit card debt in thousands. | ||||||||
d. Variable(s) entered on step 4: Years at current address. | ||||||||
Variable | Model Log Likelihood | Change in -2 Log Likelihood | df | Sig. of the Change | |
Step 1 | Debt to income ratio (x100) | -279.778 | 61.544 | 1 | .000 |
Step 2 | Years with current employer | -249.006 | 50.712 | 1 | .000 |
Debt to income ratio (x100) | -256.281 | 65.262 | 1 | .000 | |
Step 3 | Years with current employer | -248.719 | 85.885 | 1 | .000 |
Debt to income ratio (x100) | -210.684 | 9.814 | 1 | .002 | |
Credit card debt in thousands | -223.650 | 35.747 | 1 | .000 | |
Step 4 | Years with current employer | -236.533 | 78.345 | 1 | .000 |
Years at current address | -205.777 | 16.832 | 1 | .000 | |
Debt to income ratio (x100) | -202.395 | 10.068 | 1 | .002 | |
Credit card debt in thousands | -219.820 | 44.919 | 1 | .000 | |
Score | df | Sig. | |||
Step 1 | Variables | Age in years | 14.082 | 1 | .000 |
Level of education | 7.324 | 4 | .120 | ||
Level of education(1) | 7.291 | 1 | .007 | ||
Level of education(2) | 3.456 | 1 | .063 | ||
Level of education(3) | 1.040 | 1 | .308 | ||
Level of education(4) | .460 | 1 | .498 | ||
Years with current employer | 43.610 | 1 | .000 | ||
Years at current address | 18.873 | 1 | .000 | ||
Household income in thousands | 7.912 | 1 | .005 | ||
Credit card debt in thousands | .566 | 1 | .452 | ||
Other debt in thousands | 6.828 | 1 | .009 | ||
Overall Statistics | 79.885 | 10 | .000 | ||
Step 2 | Variables | Age in years | .064 | 1 | .801 |
Level of education | 3.185 | 4 | .527 | ||
Level of education(1) | 2.653 | 1 | .103 | ||
Level of education(2) | 1.276 | 1 | .259 | ||
Level of education(3) | .890 | 1 | .346 | ||
Level of education(4) | .082 | 1 | .774 | ||
Years at current address | 7.366 | 1 | .007 | ||
Household income in thousands | 4.174 | 1 | .041 | ||
Credit card debt in thousands | 40.151 | 1 | .000 | ||
Other debt in thousands | 1.864 | 1 | .172 | ||
Overall Statistics | 60.354 | 9 | .000 | ||
Step 3 | Variables | Age in years | 1.851 | 1 | .174 |
Level of education | 1.656 | 4 | .799 | ||
Level of education(1) | .280 | 1 | .597 | ||
Level of education(2) | .896 | 1 | .344 | ||
Level of education(3) | .016 | 1 | .900 | ||
Level of education(4) | .913 | 1 | .339 | ||
Years at current address | 15.866 | 1 | .000 | ||
Household income in thousands | 2.784 | 1 | .095 | ||
Other debt in thousands | .676 | 1 | .411 | ||
Overall Statistics | 21.807 | 8 | .005 | ||
Step 4 | Variables | Age in years | 1.671 | 1 | .196 |
Level of education | 2.095 | 4 | .718 | ||
Level of education(1) | .713 | 1 | .398 | ||
Level of education(2) | .939 | 1 | .333 | ||
Level of education(3) | .099 | 1 | .753 | ||
Level of education(4) | .643 | 1 | .423 | ||
Household income in thousands | .856 | 1 | .355 | ||
Other debt in thousands | .156 | 1 | .693 | ||
Overall Statistics | 6.178 | 7 | .519 | ||
Step number: 1
Observed Groups and Predicted Probabilities
32 + Y Y +
I Y Y Y I
I Y NYY I
F I N NYY I
R 24 + N NNNY +
E I NN NNNY Y I
Q I NN NNNNYY Y I
U I NN NNNNNN Y I
E 16 + NNNNNNNNN N +
N I NNNNNNNNNY N Y I
C I YNNNNNNNNNY N N Y Y I
Y I NNNNNNNNNNNYNYNNYY YY Y Y I
8 + NNNNNNNNNNNNNYNNYYN NNY YYN N Y +
I NNNNNNNNNNNNNNNNNNNYNNNNNNNYY Y N Y Y Y I
I NNNNNNNNNNNNNNNNNNNNNNNNNNNNYYY NY NNYY Y Y Y Y I
I NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYNNNNNY N N NNN YYNY Y Y YNN NY Y Y I
Predicted ---------+---------+---------+---------+---------+---------+---------+---------+---------+----------
Prob: 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1
Group: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY
Predicted Probability is of Membership for Yes
The Cut Value is .50
Symbols: N - No
Y - Yes
Each Symbol Represents 2 Cases.
Step number: 2
Observed Groups and Predicted Probabilities
32 + +
I I
I I
F I Y I
R 24 + N +
E I N I
Q I N NN I
U I NN Y NN Y I
E 16 + NN N NN Y +
N I NN YN NNYNN Y I
C I NNNNNN NNNNN N Y YY I
Y I NNNNNN NNNNNNN YN YNNN Y Y I
8 + NNNNNNYNNNNNNNYYYNNNNNN YYYNN N Y Y +
I NNNNNNNNNNNNNNNNYNNNNNNYNYNYNN NY N Y Y YY Y Y Y I
INNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYNNYNNN NN NYYYY YYNNYY Y N Y Y Y I
INNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNN NNNNNNNNNNNNYNNNNNYYYY YN NNNN YNNN NY NY NY YYY YY Y I
Predicted ---------+---------+---------+---------+---------+---------+---------+---------+---------+----------
Prob: 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1
Group: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY
Predicted Probability is of Membership for Yes
The Cut Value is .50
Symbols: N - No
Y - Yes
Each Symbol Represents 2 Cases.
Step number: 3
Observed Groups and Predicted Probabilities
32 +N +
IN I
IN I
F INN I
R 24 +NN +
E INN Y I
Q INN N I
U INN N I
E 16 +NNNNN NY +
N INNNNN NNNY Y I
C INNNNN NNNYN N N Y Y I
Y INNNNNNNNNNNNY N NYYN Y Y I
8 +NNNNNNNNNNNNN NY NNNN NN Y N Y Y Y N +
INNNNNNNNNNNNN NNNNNNNYNN YYYN NYN N NY Y NY Y I
INNNNNNNNNNNNNNNNNNNNNNNNYYNNNN NNNYYN NYYNNY Y N NN YYY Y Y Y YY Y I
INNNNNNNNNNNNNNNNNNNNNNNNNYNNNNNNNNNYNYNNNNNN NNNNNNNNNNNNYNNYNNYNNY YY YNNYN YYYY N Y N Y Y YYI
Predicted ---------+---------+---------+---------+---------+---------+---------+---------+---------+----------
Prob: 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1
Group: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY
Predicted Probability is of Membership for Yes
The Cut Value is .50
Symbols: N - No
Y - Yes
Each Symbol Represents 2 Cases.
Step number: 4
Observed Groups and Predicted Probabilities
80 + +
I I
I I
F I I
R 60 + +
E I I
Q I I
U IN I
E 40 +N +
N IN I
C INN I
Y INN I
20 +NNN +
INNNNN NY N N I
INNNNNNNNNYN NN N YN N Y Y I
INNNNNNNNNNNNNNNNNNNNNNNNNNNYNNYYN N NN NNNY NYYN NY Y Y Y Y Y Y Y Y I
Predicted ---------+---------+---------+---------+---------+---------+---------+---------+---------+----------
Prob: 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1
Group: NNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYYY
Predicted Probability is of Membership for Yes
The Cut Value is .50
Symbols: N - No
Y - Yes
Each Symbol Represents 5 Cases.
IFÂ Â (MISSING(default)Â =Â 0)Â chgdev=sre_1**2.
EXECUTE.
* Chart Builder.
GGRAPH
  /GRAPHDATASET NAME="graphdataset" VARIABLES=PRE_1 chgdev MISSING=LISTWISE REPORTMISSING=NO
  /GRAPHSPEC SOURCE=INLINE
  /FITLINE TOTAL=NO.
BEGINÂ GPL
  SOURCE: s=userSource(id("graphdataset"))
  DATA: PRE_1=col(source(s), name("PRE_1"))
  DATA: chgdev=col(source(s), name("chgdev"))
  GUIDE: axis(dim(1), label("Predicted probability"))
  GUIDE: axis(dim(2), label("chgdev"))
  GUIDE: text.title(label("Simple Scatter of chgdev by Predicted probability"))
  ELEMENT: point(position(PRE_1*chgdev))
ENDÂ GPL.
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