REE 3043 Quiz 2 Questions and Solutions | Grade A+
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Course
Real estate REE3043
Institution
Real Estate REE3043
Factors that affect housing market segmentation include all except:
household size.
household income.
household lifestyle.
household unemployment status.
household age.
️: household unemployment status.
A popular adage in real estate is that property value is all about "location, locati...
REE 3043 Quiz 2 Questions and
Solutions | Grade A+
Factors that affect housing market segmentation include all except:
household size.
household income.
household lifestyle.
household unemployment status.
household age.
✔️: household unemployment status.
A popular adage in real estate is that property value is all about "location, location, location."
However, for most property types in nonresidential realms, non-locational requirements are
,equally or even more important. All of the following are examples of non-locational factors
EXCEPT:
Proximity to modes of public transportation.
Nature of current tenants.
Amount of parking.
Floor plate size.
✔️: Proximity to modes of public transportation.
A very sophisticated, data intensive and statistically intensive method of examining market
segmentation is known as:
survey research.
cluster analysis.
,psychographics research.
discriminant analysis.
regression analysis.
✔️: psychographics research.
Since most data for a given market study is not readily available, analysts must be creative in
their use of data that they are able to obtain. The primary source for detailed household
demographic information is:
the U.S. Bureau of the Census.
not available publicly.
the Federal Reserve.
the local tax collector's office.
✔️: the U.S. Bureau of the Census.
, Which tool would a real estate investor use to seek to describe the human characteristics of
consumers that may have bearing on their response to products, packaging, advertising and
public relations efforts?
Survey research.
Census data and a marker.
Psychographics.
Geographical information systems.
✔️: Psychographics.
In real life, the variables involved in predicting occupancy and rental rate growth parameters
are:
impossible to guess at.
easy to estimate.
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