$[$Trip Generation$]$ A simple linear regression model is estimated for shopping$-$trip

generation during a shopping$-$trip peak hour. The model is

Number of peak$-$hour vehicle$-$based shopping trips per household

$=0\mathrm{.}12+0\mathrm{.}09(household$ size$)$

$+0\mathrm{.}011($annual household income in thousands of dollars$)$

$0\mathrm{.}15($employment in the household's neighborhood, in hundreds$)$

A model for social$/$recreational trip generation is estimated, with data collected during a

major holiday, as

Number of peak$-$hour vehicle$-$based social$/$recreational trips per household

$=0\mathrm{.}04+0\mathrm{.}018($household size$)$

$+0\mathrm{.}009($annual household income in thousands of dollars$)$

$+0\mathrm{.}16($number of nonworking household members$)$

A large retirement village has a total retail employment of $120.$ All $1600$ of the households

in this village consist of two nonworking family members with household income of

$$20,000.$ Assuming that shopping and social$/$recreational trip rates both peak during the

same hour $($for exposition purposes$),$ predict the total number of peak$-$hour trips generated

by this village.