Median Housing Price Model for D.M. Pan National Real Estate Company
Report: Median Housing Price Prediction Model for D.M. Pan National Real Estate
Company
Ashley Allen
Southern New Hampshire University
Median Housing Price Model for D.M. Pan National Real Estate Company
Introduction
Statistical techniques such as regression analysis were carried out in this report to address
an authentic research problem. The aim of this report was in particular to create a model for
regression, in which median housing rates for homes sold in the United States in 2019 could
predict on the basis of its square film. The relationship between predictor and response variables
should be linear in order to perform linear regression and the dispersion pattern should look like
an approximately straight line. The variable predictor influences the variable response.
Data Collection
The collection of data comprises 978 counties throughout the US. I could get a 50
random set with Excel. My response variable is the average listing price and the variable
predictor is the average square feet.
Region
State
County
Median
Listing Price
Price per
square foot
Median
square feet
East South
Central
tn
hamilton
$318,038
$134
2320
East North
Central
in
johnson
$274,236
$106
2641
West South
Central
la
caddo
$176,948
$94
1841
West South
Central
ok
rogers
$201,896
$101
1944
South
Atlantic
ga
richmond
$124,000
$88
1553
Median Housing Price Model for D.M. Pan National Real Estate Company
West North
Central
mn
olmsted
$346,928
$145
2420
South
Atlantic
nc
wake
$399,025
$151
2681
Pacific
ca
butte
$351,702
$212
1654
West South
Central
la
East baton
rouge
$244,490
$129
1904
Pacific
hi
maui
$949,479
$698
1407
South
Atlantic
sc
orangeburg
$179,352
