MAT 240 Module Two Assignment
.docx
keyboard_arrow_up
School
Southern New Hampshire University *
*We aren’t endorsed by this school
Course
240
Subject
Mathematics
Date
Feb 20, 2024
Type
docx
Pages
5
Uploaded by PresidentIce13751
Selling Price and Area Analysis for D.M. Pan National Real Estate Company
1
Report: Selling Price and Area Analysis for D.M. Pan National Real Estate Company
Karen Morrow
Southern New Hampshire University
MAT 240: Applied Statistics
Instructor Jennifer Turner
November 6, 2022
Selling Price Analysis for D.M. Pan National Real Estate Company
2
Introduction
The real estate industry acquires data to provide an intuitive analysis of how it can have an advantage over its competition. Linear regression is heavily relied on by the industry to estimate home prices. To predict the business environment and provide the best advice to their clients, real estate businesses must be well versed in the relationship between price, square footage, build year, location, and other factors.
The sales team at D.M. Pan Real Estate Company has requested a report that examines the relationship between the selling price of properties and their size in square feet. The team has
asked to be provided with an initial analysis of a select region.
Representative Data Sample
Charted below is a simple random sample of 30 for the Northeast Region using real estate
county data for 2019.
State
County
listing price
$'s per square foot
square feet random
ny
jefferson
287,800
$191
1,504
0.409664
sample
national
pa
lebanon
377,800
$201
1,881
0.189728
mean price
$301,576
342,365
pa
cumberland
270,900
$186
1,456
0.446753
median price
$297,400
318,000
ny
kings
247,900
$189
1,310
0.405313
Std dev price
76651.2
125,914
ny
madison
311,800
$158
1,973
0.461212
pa
northumberland
301,600
$163
1,852
0.401774
ny
ulster
228,600
$162
1,407
0.592642
sample
national
pa
luzerne
386,500
$186
2,077
0.166121
mean sqft
1,704
2,111
ny
warren
236,500
$205
1,156
0.038873
median sqft
1,574
1,881
pa
lehigh
305,800
$194
1,579
0.994204
std dev sqft
586.85
921
ny
clinton
351,500
$179
1,969
0.744781
ny
tioga
257,400
$218
1,183
0.566768
ny
albany
297,400
$207
1,439
0.828021
ny
washington
257,300
$203
1,265
0.812822
pa
clearfield
257,900
$170
1,517
0.205508
ny
herkimer
306,900
$171
1,797
0.160513
pa
pike
256,400
$168
1,529
0.320317
pa
centre
626,500
$144
4,354
0.923987
ny
saratoga
304,600
$157
1,946
0.899651
pa
beaver
315,300
$157
2,010
0.827777
ny
rockland
302,300
$165
1,835
0.203498
pa
centre
290,200
$184
1,574
0.669911
ny
orange
329,300
$168
1,963
0.1019
pa
adams
247,000
$158
1,566
0.286766
pa
allegheny
224,200
$196
1,145
0.048239
ny
rensselaer
347,000
$190
1,827
0.885504
pa
bucks
325,800
$182
1,794
0.135472
pa
berks
207,400
$173
1,199
0.92321
pa
northampton
286,100
$218
1,313
0.183521
Selling Price Analysis for D.M. Pan National Real Estate Company
3
Data Analysis
The regional sample is reflective of the national market in that the listing price of a home increases as the square footage increases; however, the sample reveals that the listing prices and square footage of homes in the northeast region are lower than those of the national population.
The real estate data spreadsheet provided information on 100 properties sold in the northeast region. To get a truly random sample, I imported the data into excel and used the rand function to generate random numbers for each property. I then sorted the data using the random numbers in numerical order and then picked the top 30 properties.
Scatterplot
1,000 1,500 2,000 2,500 3,000 3,500 4,000 4,500 5,000 - 100,000 200,000 300,000 400,000 500,000 600,000 700,000 f(x) = 124.08 x + 90127.04
Northeast Region
Square Feet
Listing Price
The Pattern
The independent variable is the square feet, and the dependent variable is the listing price. In making predictions, the independent variable representing the square feet would be
Your preview ends here
Eager to read complete document? Join bartleby learn and gain access to the full version
- Access to all documents
- Unlimited textbook solutions
- 24/7 expert homework help