A dataset contains the following variables:

Capsule: Tumor Penetration of Prostatic Capsule (0 = No Penetration, 1 = Penetration);

Gleason: total Gleason score, measured on a scale of 0 - 10;

Age: measured in years;

PSA: prostatic specific antigen value, measured in mg/ml.

A logistic regression model for predicting capsule=1 was fit, with PSA, Age, and Gleason as predictors. Using the SAS output below, what is the predicted probability of having capsule=1 for a 69-year old man with a psa level of 10 mg/ml and a Gleason score of 5, according to the fitted model?

Model Fit Statistics Intercept Intercept and criterion only Covariates AIC 514.289 411 . 208 SC 518.229 426.969 -2 Log L 512. 289 403 .208 Analysis of Maximum Likelihood Estimates Parameter DF Estimate Error chi - Square Pr > Chisq Intercept -6. 3896 1 . 4976 18. 2045 <. psa . age gleason>