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LOGISTIC REGRESSION VARIABLES RESPONSE /METHOD=ENTER ALTITUDE LATERAL /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). Logistic Regression Notes Output Created 03-DEC-2015 15:11:58 Comments Input Active Dataset DataSet1 Filter <none> Weight <none> Split File <none> N of Rows in Working Data File 464 Missing Value Handling Definition of Missing User-defined missing values are treated as missing Syntax LOGISTIC REGRESSION VARIABLES RESPONSE /METHOD=ENTER ALTITUDE LATERAL /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5). Resources Processor Time 00:00:00.00 Elapsed Time 00:00:00.03 Case Processing Summary Unweighted Cases a N Percent Selected Cases Included in Analysis 464 100.0 Missing Cases 0 .0 Total 464 100.0 Unselected Cases 0 .0 Total 464 100.0 a. If weight is in effect, see classification table for the total number of cases.

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Page 1: Output

LOGISTIC REGRESSION VARIABLES RESPONSE /METHOD=ENTER ALTITUDE LATERAL /CRITERIA=PIN(.05) POUT(.10) ITERATE(20) CUT(.5).

Logistic Regression

Notes

Output Created 03-DEC-2015 15:11:58

Comments

Input Active Dataset DataSet1

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File464

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing

Syntax LOGISTIC REGRESSION VARIABLES

RESPONSE

/METHOD=ENTER ALTITUDE

LATERAL

/CRITERIA=PIN(.05) POUT(.10)

ITERATE(20) CUT(.5).

Resources Processor Time 00:00:00.00

Elapsed Time 00:00:00.03

Case Processing Summary

Unweighted Casesa N Percent

Selected Cases Included in Analysis 464 100.0

Missing Cases 0 .0

Total 464 100.0

Unselected Cases 0 .0

Total 464 100.0

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

cases.

Page 2: Output

Dependent Variable Encoding

Original Value Internal Value

0 0

1 1

Block 0: Beginning Block

Classification Tablea,b

Observed

Predicted

RESPONSE Percentage

Correct0 1

Step 0 RESPONSE 0 0 179 .0

1 0 285 100.0

Overall Percentage 61.4

a. Constant is included in the model.

b. The cut value is .500

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 0 Constant .465 .095 23.784 1 .000 1.592

Variables not in the Equation

Score df Sig.

Step 0 Variables ALTITUDE 6.483 1 .011

LATERAL 185.459 1 .000

Overall Statistics 192.552 2 .000

Block 1: Method = Enter

Page 3: Output

Omnibus Tests of Model Coefficients

Chi-square df Sig.

Step 1 Step 259.181 2 .000

Block 259.181 2 .000

Model 259.181 2 .000

Model Summary

Step -2 Log likelihood

Cox & Snell R

Square

Nagelkerke R

Square

1 359.629a .428 .581

a. Estimation terminated at iteration number 6 because

parameter estimates changed by less than .001.

Classification Tablea

Observed

Predicted

RESPONSE Percentage

Correct0 1

Step 1 RESPONSE 0 135 44 75.4

1 26 259 90.9

Overall Percentage 84.9

a. The cut value is .500

Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a ALTITUDE .197 .067 8.489 1 .004 1.217

LATERAL -.239 .022 112.893 1 .000 .788

Constant 2.395 .306 61.478 1 .000 10.973

a. Variable(s) entered on step 1: ALTITUDE, LATERAL.