The following linear regression models were estimated to predict number of peak-
ID: 3385584 • Letter: T
Question
The following linear regression models were estimated to predict number of peak-hour vehicle-based trips per household for shopping and social/recreational:
Shopping Trips per household = 0.12 + 0.09X1 + 0.011X2 - 0.15X3
Where:
X1 – household size
X2 –annual household income in thousands of dollars
X3 – employment in the household’s neighborhood, in hundreds
Social/recreational Trips per household = 0.04 + 0.018X1 + 0.009X2 + 0.16X4
Where:
X4 – number of nonworking household members
Using these models, estimate the number of vehicle-based shopping and social/recreational trips made by a particular household which has six members (only one working member) and an annual income of $50,000. They currently live in a neighborhood with 450 employees.
Explanation / Answer
The following linear regression models were estimated to predict number of peak-
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