Table 9 Probit model classification table

 + 

974

388

1362

−

471

1079

1550

Total

1445

1467

2912

Classified + if predicted Pr(D) >  = .5

True D defined as aumentosub ! = 0

Sensitivity

Pr( +|D)

67.40%

Specificity

Pr(−|~ D)

73.55%

Positive predictive value

Pr(D| +)

71.51%

Negative predictive value

Pr(~ D|−)

69.61%

False + rate for true ~ D

Pr( +|~ D)

26.45%

False—rate for true D

Pr(−|D)

32.60%

False + rate for classified + 

Pr(~ D| +)

28.49%

False—rate for classified -

Pr(D|-)

30.39%

Correctly classified

70.50%