REAL ESTATE DATA

Team E

QRB 501

May 5, 2011
Larry Oslund

REAL ESTATE DATA SET

Real estate investment can be risky if the buyers are not aware of the different types of houses structures ranging from commercial, residential, apartment complex, single houses, or duplex. Moreover, the attributes of how many beds/baths, the proximity from the main city and freeways, and the area they located are crucial factors in the buying decision. Based 105 houses being surveyed, we can determine their pricing values according to the given variables: size, distance from the city, bedrooms, township, pool, baths, and garage.
Variable Analysis
PRICE
ROBERT’S please attach what we came up with in class. See Appendix A
GARAGE
Based on the given data set, we can say that most houses being surveyed have at least one garage. 31% of the houses have no garages and 71% have 1 garage. The maximum of garage a house can have is one and the minimum is none. See Appendix H DISTANCE Distance from the center of the city to each of the 105 houses was measured in miles and had a range from a minimum of six miles to a maximum of 28 miles. The average distance was fifteen miles and the most common distance was sixteen miles from the center of the city and 85% of the 105 houses were within twenty miles of the city center. Although not true for every property, in general, the properties farther away from the city tend to be priced less than the properties closer to the center of the city. See Appendix C.

TOWNSHIP Each of the 105 houses was located with five townships. With 29 out of the 105 total homes, Township Four had the most number of homes, followed by Township Three, with 25 houses. Over 51% of the houses were located within these two townships. Township Five had the highest average home price at $231,400 and Township One