PART II: Regression Analysis and Model Building (80 points) The Condo Sales Case This case involves an investigation of the factors that affect the sale price of Oceanside condominium units. It represents an extension of an analysis of the same data by Herman Kelting (1979). Although condo sale prices have increased dramatically over the past 20 years, the relationship between these factors and sale price remain about the same. Consequently, the data provide valuable insight into today’s condominium sales market. The sales data were obtained for a new oceanside condominium complex consisting of two adjacent and connected eight-floor buildings. The complex contains over 200 units of equal size (approximately 500 square feet each). The …show more content…
The floor location of the unit; the variable levels are 1, 2, …, 8. 3. Distance from elevator. This distance, measured along the length of the complex, is expressed in number of condominium units. An additional two units of distance was added to the units in building 2 to account for the walking distance in the connecting area between the two buildings. Thus, the distance of unit 105 from the elevator would be 3, and the distance between unit 113 and the elevator would be 9. The variable levels are 1, 2, …, 15. 4. View of ocean. The presence or absence of an ocean view is recorded for each unit and specified with a dummy variable (1 if the unit possessed an ocean view and 0 if not). Note that units not possessing an ocean view would face the parking lot. 5. End unit. We expect the partial reduction of view of end units on the ocean side (numbers ending in 11) to reduce their sale price. The ocean view of these end units is partially blocked by building 2. This qualitative variable is also specified with a dummy variable (1 if the unit has a unit number ending in 11 and 0 if not). 6. Furniture. The presence or absence of furniture is recorded for each unit, and represented with a single dummy variable (1 if the unit was furnished and 0 if
Florida is a bellwether state for the U.S. in that trends that occur in Florida tend to be experienced by the United States as a whole. Florida has pushed through some major events such as the Florida Housing Boom in the early 2000’s, the recession in the mid 2000’s, and the long but steady recovery phase towards the end of the 2000’s and modern times.This trend in housing occured throughout the United States and was a key feature of the Great Recession. It is possible to better understand housing trends and economic effects by focusing on a particular example of housing in Florida. In addition to the direct relationship between prices and demand for condominiums in Florida, there is also a direct correlation of how events
This report will review the property of 101 Richmond St. East, Toronto and analyze it as potential investment for Allied Properties REIT. The key characteristics of the firm will be evaluated and an analysis of the property (based on location, size, building type and overall appeal) will determine its compatibility as a new investment for Allied’s Portfolio.
Goodlife Management is the sole provider of apartments available for rent in the city of Atlantis in which the supply and demand simulation provided by UPOX takes place. The simulation provides excellent, real-life examples of how the supply and demand curves may shift based upon various factors that occur within the market in Atlantis. The following details such examples as microeconomics versus macroeconomics, equilibrium pricing, and what drives the elasticity of the market price of the two-bedroom apartments that are available for rent in Atlantis.
The following information has been provided by the Evans Retail Stores, Inc., for the first quarter of the year:
1. Using a similar approach as example 2.3 (textbook page 75): “Finding the Sale Price of Items in a Department Store”, provide your analysis for the following problem statement:
The real estate division was estimated to have a fair value of $13,890,000. This was determined by totaling the number of lots expected to sell within the next four years and multiplying it by the price per lot of $180,000. After determining total lot sales, a 20% discount rate was applied as suggested by current market conditions. Given the unique nature of the real estate development, it is not believed that there are any comparable developments to find a market multiple.
Rent will be collected on a monthly bases. Monthly rent was determined by multiplying the sale price of the subject property by 1% and adding in utilities and addition fees. This amount was calculated to be $1,485 monthly for year one. Which is high for this area. Vacancy losses were determined by multiplying potential gross income by 10%. Miscellaneous income will be $500.00 for the first year in fees for maintenance, repairs, and so on. This amount will be charged every two years. This resulted in an Effective Gross Income of $16,535.06. Operating expenses are broken in two categories: fixed expenses and variable expenses. In the fixed expenses I estimate yearly taxes and insurance based upon local rates. For variable expenses, I will not incur any utility or garbage collection expenses as the tenants will be paying these. The repairs and expenses were estimated to be $250 each and incurred every other year for $150 thereafter. This results in our total operating expenses. The capital expenditures equal our tenant improvements of
This case investigates the factors that are affecting the sale price of Oceanside condominium units. The relationship between these factors and sale price has remained the same despite condo sale prices increasing drastically over the past 20 years.
In order to answer this question we first have to consider whether the value provided to the commercial and residential markets is the same. While it may look like the value is similar, upon closer inspection, we can identify an important distinction between the values provided to the two markets:
The data for the second test to be conducted by our group consists of lot sizes of the residential properties that are up for sale in Toronto and Vancouver. The samples are represented in m2 (metres squared; area of the land in which the residential properties are built on). The data taken are based on the properties that are up for
Record the annual heating and cooling demands for each of the floors for all three models. What will be the observation?
Gulf Real Estate Properties, Inc., is a real estate firm located in southwest Florida. The company, which advertises itself as “expert in the real estate market,” monitors condominium sales by collecting data on location, list price, sale price, and number of days it takes to sell each unit. Each condominium is classified as Gulf View if it is located directly on the Gulf of Mexico or No Gulf View if it is located on the bay or a golf course, near but not on the Gulf. Sample data from the Multiple Listing Service in Naples, Florida, provided recent sales data for 40 Gulf View condominiums and 18 No Gulf View condominiums. Prices are in thousands of dollars.
The major residential complex across the Hudson River from midtown Manhattan comprised of six high-rise buildings that contain 4,000 condominium homes ranging in size from 1-bedroom to 3-bedroom, 3-bath. There are a total of six possible apartment configurations with prices that vary by floor and view. The river views that overlook New York City are higher priced, as are the higher floors. The most premium apartments are on the 31st floor facing New York in a 3-bedroom, 3-bath configuration on a corner of the building, going for $393,500. The lowest price condominium home is $175,000 for a 1 bedroom on the lobby floor. The developer has chosen conjoint analysis to accomplish the following objectives. First, based on the rank order of preference for condos differing in their combinations of view, floor height, unit size and price, the developer is looking to calculate the relative theoretical utilities of each. Second, each respondent's utilities for the various levels of each attribute have been analyzed and rank-ordered. Third, a mathematical model will be designed to simulate the sell-out of each specified building, varying pricing scenarios to see which will yield the optimal results. Fourth, the study seeks to define the optimal set of prices that would cause the building to sell out as evenly as possible. The
This report outlines the project of a new Mixed Housing Suburban residential area for our client Unitec. With the site section already been divided into residential lots (Refer to figure.1); an ideal concept is to be suitable for the Mixed Housing Suburban area that should include a drawings and within the standards
A difficult characteristic to understand about the housing market is how a price is given for a particular house. That price will be designated to that particular house alone. All houses have various pricing, so I can’t always assume that one will cost more or less than any other. The pricing for houses vary based on their characteristics. Each characteristic must be analyzed to determine its contribution or detraction toward the price. I have taken some of these characteristics and modeled the relationship between them and the price of real estate for a specific area.