Question
East Meadow is a suburban New York community. A real-estate company gathers data on appraised values of single-family houses (recorded in thousands of dollars) based
East Meadow is a suburban New York community. A real-estate company gathers data on
appraised values of single-family houses (recorded in thousands of dollars) based on the age of
the house, whether or not it has a fireplace, and whether or not it has a finished basement. The
table below shows a regression model relating a house's value to the predictor variables
Bed (=number of bedrooms),
Bath (=number of bathrooms),
Age (=age of the house, in years),
Basement (=1 if basement is finished and =0 otherwise)
Regression results for customers' house values are given below. Notice that the results only show
the a partial regression table (i.e. there are no standard errors or p-values).
Summary Measures
R-squared 0.53
Adj R-Squared 0.49
Regression Coefficients
(Intercept) -18.20
Bed 6.60
Bath 36.40
Age -3.50
Basement 17.40
Age*Basement 1.50
Based on the regression table, what is the estimated value of a house with 2 bedrooms, 2
bathrooms, 10 years old and unfinished basement?
$86 thousand
$51 thousand
$47.8 thousand
$32.8 thousand
None of the above
Based on the regression table, provide an economic interpretation for the coefficient for "Bed".
For every additional bedroom, a house's value increases by $6.60 thousand, if all other variables
remain constant.
For every additional bedroom, a house's value increases by $6.60/18.2 thousand = $0.36
thousand, if all other variables remain constant.
For every additional bedroom, a house's value increases by $(6.60 + 36.4*number of bathrooms)
thousand, if all other variables remain constant.
For every additional bedroom, a house's value decreases by $18.20 thousand, if all other
variables remain constant.
Adding two additional bedrooms, a house's value increases by $6.60 thousand, if all other
variables remain constant.
Provide an economic interpretation for the coefficient of "Age*Basement.
All else equal, houses with an unfinished basement depreciate (=decrease in value), on average,
at a rate of $1.5 thousand per year slower than houses with finished basement.
All else equal, houses with a finished basement depreciate (=decrease in value), on average, at a
rate of $1.5 thousand per year slower than houses with unfinished basement.
All else equal, houses with a finished basement depreciate (=decrease in value), on average, at a
rate of $1.5 thousand for each additional year of age.
All else equal, houses with an unfinished basement depreciate (=decrease in value), on average,
at a rate of $1.5 thousand for each additional year of age.
The coefficient has no economic meaningful interpretation!
The analyst has additional information available on whether or not the house has a swimming
pool (denoted by the variable "Pool" which equals 1 if the house has a pool and equals 0
otherwise). The analyst conjectures that the rate of depreciation for each additional year of age
is faster for houses without a pool. In order to investigate that specific conjecture, the analyst has
to...
a. ... include the variable "Pool" into the above regression model.
b. ... include the variable "Basement*Pool" into the above regression model.
c. ... include the variable "Age*Pool" into the above regression model.
d. ... include the variable "Exp(Pool)" into the above regression model.
e. ... include the variable "Log(Pool)" into the above regression model.
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