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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)and family size (Size).House size is measured in hundreds of square feet and income is measured in thousands of dollars.The builder randomly selected 50 families and ran the multiple regression.Partial 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)and family size (Size).House size is measured in hundreds of square feet and income is measured in thousands of dollars.The builder randomly selected 50 families and ran the multiple regression.Partial Microsoft Excel output is provided below:   Also SSR (X<sub>1</sub> ∣ X<sub>2</sub>)= 36400.6326 and SSR (X<sub>2</sub> ∣ X<sub>1</sub>)= 3297.7917 -Referring to Table 14-4,one individual in the sample had an annual income of $40,000 and a family size of 1.This individual owned a home with an area of 1,000 square feet (House = 10.00).What is the residual (in hundreds of square feet)for this data point? Also SSR (X1 ∣ X2)= 36400.6326 and SSR (X2 ∣ X1)= 3297.7917
-Referring to Table 14-4,one individual in the sample had an annual income of $40,000 and a family size of 1.This individual owned a home with an area of 1,000 square feet (House = 10.00).What is the residual (in hundreds of square feet)for this data point?


Definitions:

Sampling Distribution

A distribution indicating the probabilities of a statistic, which is calculated from a random sample.

Sample Proportion

The fraction of the sample that represents a particular attribute or characteristic.

Normal Probability Distribution

A bell-shaped distribution characterized by its mean and standard deviation, representing a continuous random variable.

Central Limit Theorem

A statistical theory that states that the distribution of sample means approximates a normal distribution as the sample size becomes larger, regardless of the population's distribution.

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