Simple Logistic Regression Using Continuous …
Simple Logistic Regression Using Continuous Predictor
Hypothetical Widget Example
Logistic Regression
Total number of cases: 50 (Unweighted)
Number of selected cases: 50
Number of unselected cases: 0
Number of selected cases: 50
Number rejected because of missing data: 0
Number of cases included in the analysis: 50
Dependent Variable Encoding:
Original Internal
Value Value
0 0
1 1
_
Dependent Variable.. SUCCESS
Beginning Block Number 0. Initial Log Likelihood Function
-2 Log Likelihood 69.234697
* Constant is included in the model.
Beginning Block Number 1. Method: Enter
Variable(s) Entered on Step Number
1.. YRSEXP
Estimation terminated at iteration number 3 because
Log Likelihood decreased by less than .01 percent.
-2 Log Likelihood 54.932
Goodness of Fit 48.264
Cox & Snell - R^2 .249
Nagelkerke - R^2 .332
Chi-Square df Significance
Model 14.303 1 .0002
Block 14.303 1 .0002
Step 14.303 1 .0002
---------- Hosmer and Lemeshow Goodness-of-Fit Test-----------
SUCCESS = 0 SUCCESS = 1
Group Observed Expected Observed Expected Total
1 6.000 5.177 .000 .823 6.000
2 4.000 4.805 2.000 1.195 6.000
3 3.000 3.432 2.000 1.568 5.000
4 4.000 3.249 2.000 2.751 6.000
5 2.000 2.731 4.000 3.269 6.000
6 3.000 2.140 4.000 4.860 7.000
7 1.000 1.116 4.000 3.884 5.000
8 1.000 .653 3.000 3.347 4.000
9 .000 .695 5.000 4.305 5.000
Chi-Square df Significance
Goodness-of-fit test 4.0833 7 .7701
--------------------------------------------------------------
Classification Table for SUCCESS
The Cut Value is .50
Predicted
0 1 Percent Correct
0 ⌠ 1
Observed ⎮∫∫∫∫∫∫∫⎮∫∫∫∫∫∫∫⎮
0 0 ⌠ 17 ⌠ 7 ⌠ 70.83%
⎮∫∫∫∫∫∫∫⎮∫∫∫∫∫∫∫⎮
1 1 ⌠ 6 ⌠ 20 ⌠ 76.92%
⎮∫∫∫∫∫∫∫⎮∫∫∫∫∫∫∫⎮
Overall 74.00%
----------------- Variables in the Equation ------------------
Variable B S.E. Wald df Sig R
YRSEXP .1896 .0577 10.7799 1 .0010 .3561
Constant -1.9679 .7086 7.7117 1 .0055
95% CI for Exp(B)
Variable Exp(B) Lower Upper
YRSEXP 1.2087 1.0794 1.3535
2 new variables have been created.
Name Contents
PRED Predicted Value
ZRESID Standardized Residual
Plot
[pic]
[pic]
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