A researcher wants to find the factors affecting the probability that a person suffers from heart diseases. Let Age denotethe age of the person, let BMI denote whether the BMI of the preson is above 30 (BMI = 1) or below 30 (BMI = 0), and letsmoker denote whether the person is a smoker (smoker= 1) or not (smoker=0). She collects a random sample of1,000 individuals from the general population and estimates the following logit regression:Pr(Heart disease Age, BMI, Smoker) - F(2.46 +0.05Age + 0.04BMI + 0.04 Smoker).(0.98) (1.09) (1.31) (1.31)Standard errors are given in parentheses. The binary dependent variable, Heart disease denotes the probability of aperson 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 aheart disease is(Round your answer to four decimal places.)

The given logit regression isSample size is

Answered: A researcher wants to find the factors…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Research has shown that approximately 1 woman in 500 carries a mutation of a particular gene. About 45% of women with this mutation develop bladder cancer. Find the probability that a randomly selected woman will carry the mutation of this gene and will develop bladder cancer. ... Sample Space: Women Women with mutated gene Women who develop bladder cancer The probability that a randomly selected woman will carry the gene mutation and develop bladder cancer is (Round to four decimal places as needed.)
A manufacturer of aspirin claims that the proportion of headache sufferers who get relief with just two aspirins is 63.1%. What is the probability that in a random sample of 490 headache sufferers, less than 59.3% obtain relief? Probability =
According to a survey, 30% of college students said that they spend too much time on Facebook. Suppose this result holds true for the current population of all college students. A random sample of six college students is selected. a. Define the random variable X b. X takes on what values?X = ..................................................... c. Determine the number of trials n and the probability of success for this binomial distribution. d.Find the probability that exactly three of these six college students will say that they will spend too much time on Facebook. Round your answer to three decimal places.
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A survey showed that 83% of adults need correction (eyeglasses, contacts, surgery, etc.) for their eyesight. If 18 adults are randomly selected, find the probability that at least 17 of them need correction for their eyesight. Is 17 a significantly high number of adults requiring eyesight correction? ... The probability that at least 17 of the 18 adults require eyesight correction is (Round to three decimal places as needed.)
Died from Did Not Die Cancer from Cancer Never smoked cigars 708 124,756 9,355 Former cigar smoker Current cigar smoker 86 137 6,567
A pharmaceutical company is running trials on a new test for anabolic steroids. The company uses the test on 400 athletes known to be using steroids and 200 athletes known not to be using steroids. Of those using steroids, the new test is positive for 375 and negative for 25. Of those not using steroids, the test is positive for 25 and negative for 175. What is the relative frequency of a false negative result (the probability that an athlete using steroids will test negative)? (Round your answer to two decimal places.) What is the relative frequency of a false positive result (the probability that an athlete not using steroids will test positive)? (Round your answer to two decimal places.)
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A survey showed that 79% of adults need correction (eyeglasses, contacts, surgery, etc.) for their eyesight. If 15 adults are randomly selected, find the probability that at least 14 of them need correction for their eyesight. Is 14 a significantly high number of adults requiring eyesight correction? The probability that at least 14 of the 15 adults require eyesight correction is nothing. (Round to three decimal places as needed.)
The Physicians' Foundation reported that almost 50% of all general practice physicians in the United States do not recommend medicine as a career. Let x represent the number of sampled general practice physicians who do not recommend medicine as a career. Consider a random sample of 12 physicans. Find the probability that exactly 6 of them do not recommend medicine as a career.

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