Urgent Individual Assignment on Logistic Regression

Logistic Regression

[DataSet1]

Case Processing Summary

Unweighted Casesa N Percent

Selected Cases Included in Analysis

Missing Cases

Total

Unselected Cases

Total

3 4 8 1 0 0 . 0

0 . 0

3 4 8 1 0 0 . 0

0 . 0

3 4 8 1 0 0 . 0

If weight is in effect, see classification table for the total number of cases.a.

Dependent Variable Encoding

Original Value Internal Value

0

1

0

1

Block 0: Beginning Block

Classification Tablea,b

Observed

Predicted

PAST DUE Percentage Correct0 1

Step 0 PAST DUE 0

1

Overall Percentage

1 9 8 0 1 0 0 . 0

1 5 0 0 . 0

5 6 . 9

Constant is included in the model.a.

The cut value is .500b.

Variables in the Equation

B S.E. Wald d f Sig. Exp(B)

Step 0 Constant - . 2 7 8 . 1 0 8 6 . 5 7 8 1 . 0 1 0 . 7 5 8

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Variables not in the Equation

Score d f Sig.

Step 0 Variables CBSCORE

DEBT

GROSS INC

LOAN AMT

Overall Statistics

38.886 1 . 0 0 0

. 4 8 8 1 . 4 8 5

7 . 4 3 4 1 . 0 0 6

20.174 1 . 0 0 0

58.080 4 . 0 0 0

Block 1: Method = Enter

Omnibus Tests of Model Coefficients

Chi-square d f Sig.

Step 1 Step

Block

Model

63.060 4 . 0 0 0

63.060 4 . 0 0 0

63.060 4 . 0 0 0

Model Summary

Step -2 Log

likelihood Cox & Snell R

Square Nagelkerke R

Square

1 412.728 a . 1 6 6 . 2 2 2

Estimation terminated at iteration number 4 because parameter estimates changed by less than .001.

a.

Classification Tablea

Observed

Predicted

PAST DUE Percentage Correct0 1

Step 1 PAST DUE 0

1

Overall Percentage

1 5 5 4 3 7 8 . 3

6 2 8 8 5 8 . 7

6 9 . 8

The cut value is .500a.

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Variables in the Equation

B S.E. Wald d f Sig. Exp(B)

Step 1a CBSCORE

DEBT

GROSS INC

LOAN AMT

Constant

- . 0 1 7 . 0 0 3 35.000 1 . 0 0 0 . 9 8 3

- . 0 0 4 . 0 0 9 . 2 1 0 1 . 6 4 7 . 9 9 6

. 0 0 0 . 0 0 0 . 4 7 9 1 . 4 8 9 1 . 0 0 0

. 0 0 0 . 0 0 0 14.540 1 . 0 0 0 1 . 0 0 0

10.672 2 . 0 3 2 27.595 1 . 0 0 0 43141.305

Variable(s) entered on step 1: CBSCORE, DEBT, GROSS INC, LOAN AMT.a.

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