Statistics-An outreach program is tasked with estimating the annual income

| September 5, 2016

Question
An outreach program is tasked with estimating the annual income of a household given

its school district, neighborhood crime rate, proximity to clean drinking water, and roof

type (there are three types: thatched, tin, or tile). The program only collected roof type

information for a (uniformly random) 90% of households in its dataset and wants to

impute (that is, ll in a best guess for) the missing roof type values prior to carrying

out subsequent analyses. Suggest a reasonable way to impute the missing roof type

values in a manner that makes use of the other features collected for each household.

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