
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, at the 0.01 level of significance, what conclusion should the builder draw regarding the inclusion of School in the regression model?
A) School is significant in explaining house size and should be included in the model because its p-value is less than 0.01.
B) School is significant in explaining house size and should be included in the model because its p-value is more than 0.01.
C) School is not significant in explaining house size and should not be included in the model because its p-value is less than 0.01.
D) School is not significant in explaining house size and should not be included in the model because its p-value is more than 0.01.
Correct Answer:
Verified
Q43: TABLE 14-4
A real estate builder wishes to
Q44: TABLE 14-5
A microeconomist wants to determine how
Q45: TABLE 14-4
A real estate builder wishes to
Q46: TABLE 14-4
A real estate builder wishes to
Q47: TABLE 14-5
A microeconomist wants to determine how
Q49: TABLE 14-5
A microeconomist wants to determine how
Q50: TABLE 14-4
A real estate builder wishes to
Q51: TABLE 14-5
A microeconomist wants to determine how
Q52: TABLE 14-4
A real estate builder wishes to
Q53: TABLE 14-5
A microeconomist wants to determine how
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