8.4 Consider a Poisson regression model for the number of social/recreational trips generated during a peak-hour period that is estimated by (see Eq. 8.3 2 ) BZ; = -0.75+0.025(household size) + 0.008(annual household income, in %3D thousands of dollars) + 0.10(number of nonworking household members). Suppose a household has five members (three of whom work) and an annual income of $100,000. What is the expected number of peak-hour social/recreational trips, and what is the probability that the household will not make a peak-hour social/recreational trip?
8.4 Consider a Poisson regression model for the number of social/recreational trips generated during a peak-hour period that is estimated by (see Eq. 8.3 2 ) BZ; = -0.75+0.025(household size) + 0.008(annual household income, in %3D thousands of dollars) + 0.10(number of nonworking household members). Suppose a household has five members (three of whom work) and an annual income of $100,000. What is the expected number of peak-hour social/recreational trips, and what is the probability that the household will not make a peak-hour social/recreational trip?
Chapter2: Loads On Structures
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:8.4 Consider a Poisson regression model for the number of social/recreational trips generated during a peak-hour
period that is estimated by (see Eq. 8.3 2 ) BZ; = -0.75+0.025(household size) + 0.008(annual household income, in
%3D
thousands of dollars) + 0.10(number of nonworking household members). Suppose a household has five members
(three of whom work) and an annual income of $100,000. What is the expected number of peak-hour
social/recreational trips, and what is the probability that the household will not make a peak-hour social/recreational
trip?
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