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) BZ = -0.75 +0.025(household size) + 0.008(annual household income, in 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?

Engineering Fundamentals: An Introduction to Engineering (MindTap Course List)
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Chapter20: Engineering Economics
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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)
BZ = -0.75 +0.025(household size) + 0.008(annual
household income, in 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?
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) BZ = -0.75 +0.025(household size) + 0.008(annual household income, in 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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