A researcher wants to find the factors affecting the probability that a person suffers from heart diseases. Let Age denote the age of the person, let BMI denote whether the BMI of the preson is above 30(BMI=1) or below 30(BMI=0), and let smoker denote whether the person is a smoker (smoker=1) or not (smoker=0). She collects a random sample of 1,000 individuals from the general population and estimates the following logit regression: Pr(HeartdiseaseAge,BMI,Smoker)=F(2.46+0.05Age+0.04BMI+0.04Smoker).(0.98)(1.09) (1.31) (1.31) Standard errors are given in parentheses. The binary dependent variable, Heart disease denotes the probability of a person suffering from heart disease keeping Age, BMI, and smoker constant. The predicted probability that Henry who is currently aged 58 , whose BMI is above 30 , and is a smoker, will suffer from a heart disease is (Round your answer to four decimal places.)