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TABLE 14-4 A Real Estate Builder Wishes to Determine How House Size

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TABLE 14-4
A real estate builder wishes to determine how house size (House) is influenced by family income (Income) , family size (Size) , and education of the head of household (School) . House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years. The builder randomly selected 50 families and ran the multiple regression. Microsoft Excel output is provided below: TABLE 14-4 A real estate builder wishes to determine how house size (House)  is influenced by family income (Income) , family size (Size) , and education of the head of household (School) . House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is in years. The builder randomly selected 50 families and ran the multiple regression. Microsoft Excel output is provided below:   -Referring to Table 14-4, one individual in the sample had an annual income of $100,000, a family size of 10, and an education of 16 years. This individual owned a home with an area of 7,000 square feet (House = 70.00) . What is the residual (in hundreds of square feet)  for this data point? A)  7.40 B)  2.52 C)  -2.52 D)  -5.40
-Referring to Table 14-4, one individual in the sample had an annual income of $100,000, a family size of 10, and an education of 16 years. This individual owned a home with an area of 7,000 square feet (House = 70.00) . What is the residual (in hundreds of square feet) for this data point?


Definitions:

Levels

Distinct values or categories that a qualitative variable can take, often used in the context of experimental design and analysis.

Independent SRSs

Independent Simple Random Samples; a sampling technique where each subset of the population has an equal probability of being chosen, and the selections are made independently of each other.

Normally Distributed

Describing a data set where the observations are symmetrically distributed around the mean, forming a bell-shaped curve.

SSE

SSE, or Sum of Squares Error, is a measure used in statistics to describe the amount of variation or deviation of sample values from the fitted values in a model.

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