A survey was conducted and asked: "Do you consider your health to be poor?" This was coded as 1 for "yes" and 0 for "no." The effect of age (in years) and sex (1 = male, 0 = female) on the outcome was examined using logistic regression. The fitted logistic model is: logit (p) = -0.544 + Â * sex + 0.0331 * age (a) What are the odds of responding "yes" for a female subject who is 60 years (b) What is the estimated odds ratio corresponding to the age variable? Interpret this estimate. (c) Suppose that, based on the data from the survey, the odds of responding "yes" for males are 3.79% greater than the odds for females, adjusting for age. What is the value of B? old?
A survey was conducted and asked: "Do you consider your health to be poor?" This was coded as 1 for "yes" and 0 for "no." The effect of age (in years) and sex (1 = male, 0 = female) on the outcome was examined using logistic regression. The fitted logistic model is: logit (p) = -0.544 + Â * sex + 0.0331 * age (a) What are the odds of responding "yes" for a female subject who is 60 years (b) What is the estimated odds ratio corresponding to the age variable? Interpret this estimate. (c) Suppose that, based on the data from the survey, the odds of responding "yes" for males are 3.79% greater than the odds for females, adjusting for age. What is the value of B? old?
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...
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Transcribed Image Text:A survey was conducted and asked: “Do you consider your health to be poor?" This was coded as 1 for "yes" and 0 for "no."
The effect of age (in years) and sex (1 = male, 0 = female) on the outcome was examined using logistic regression. The
fitted logistic model is:
logit (p) =
= -0.544 + ß* sex + 0.0331 * age
old?
(a) What are the odds of responding "yes" for a female subject who is 60 years
|
(b) What is the estimated odds ratio corresponding to the age
variable? Interpret this estimate.
(c) Suppose that, based on the data from the survey, the odds of responding "yes" for males are 3.79% greater than the
odds for females, adjusting for age. What is the value of Â?
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