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0 42 .0

0 42 100.0

50.0

Observed

.00

1.00

IMPROVE

Overall Percentage

Step 0

.00 1.00

IMPROVE Percentage

Correct

Predicted

Constant is included in the model.a.

The cut value is .500b.

.000 .218 .000 1 1.000 1.000ConstantStep 0

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

4.613 1 .032

10.720 1 .001

16.797 2 .000

SEX(1)

TREAT(1)

Variables

Overall Statistics

Step

0

Score df Sig.

10.962 1 .001

10.962 1 .001

10.962 1 .0017.266 1 .007

18.227 2 .000

18.227 2 .000

Step

Block

ModelStep

Block

Model

Step 1

Step 2

Chi-square df Sig.

Number of people whose health was

improved irrespective of having the

treatment or just taking the placebo.

This is a score test that is used to predict whether or not anindependent variable would be significant in the model. Pearson chi-

square values of sex and treatment are given to show that they are both

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Step number: 1

Observed Groups and Predicted Probabilities

80 F R 60 E Q U 1 E 40 1 1 N 1 1 C 0 1

Y

0 1

20 0 1 0 0 0 0 0 0 Predicted

Prob: 0 .25 .5 .75 1Group: 000000000000000000000000000000111111111111111111111111111111

Predicted Probability is of Membership for 1.00The Cut Value is .50Symbols: 0 - .00

1 - 1.00

Each Symbol Represents 5 Cases.

Step number: 2

Observed Groups and Predicted Probabilities

32 1

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1 1 1 F 1 1 R 24 1 1 E 1 1 Q 0 1

U

0 1

E 16 0 1 N 0 1 1 C 1 0 1 1

Y 0 0 1 1 8 0 0 0 1

0 0 0 0 0 0 0 0 0 0 0 0 Predicted

Prob: 0 .25 .5 .75 1Group: 000000000000000000000000000000111111111111111111111111111111

Predicted Probability is of Membership for 1.00The Cut Value is .50Symbols: 0 - .00

1 - 1.00Each Symbol Represents 2 Cases.