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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:
SUMMARY OUTPUT
Regression Statistics
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: SUMMARY OUTPUT Regression Statistics    ANOVA      -Referring to Table 14-4, one individual in the sample had an annual income of $10,000, a family size of 1, and an education of 8 years. 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? A)  8.10 B)  5.40 C)  -5.40 D)  -8.10 ANOVA
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: SUMMARY OUTPUT Regression Statistics    ANOVA      -Referring to Table 14-4, one individual in the sample had an annual income of $10,000, a family size of 1, and an education of 8 years. 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? A)  8.10 B)  5.40 C)  -5.40 D)  -8.10 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: SUMMARY OUTPUT Regression Statistics    ANOVA      -Referring to Table 14-4, one individual in the sample had an annual income of $10,000, a family size of 1, and an education of 8 years. 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? A)  8.10 B)  5.40 C)  -5.40 D)  -8.10
-Referring to Table 14-4, one individual in the sample had an annual income of $10,000, a family size of 1, and an education of 8 years. 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?


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