Multiple Choice
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:
ANOVA
-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 not significant in explaining house size and should not be included in the model because its p-value is less than 0.01.
C) School is significant in explaining house size and should be included in the model because its p-value is more 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
Correct Answer:
Verified
Q17: TABLE 14-5<br> A microeconomist wants to
Q18: You have just run a regression in
Q19: TABLE 14-11<br>A logistic regression model
Q20: TABLE 14-6 <br>One of the
Q21: TABLE 14-5<br>A microeconomist wants to
Q23: TABLE 14-3<br>An economist is interested to
Q24: TABLE 14-4<br> A real estate builder
Q25: TABLE 14-4<br>A real estate builder wishes
Q26: TABLE 14-12<br> A weight-loss clinic wants
Q27: TABLE 14-7 <br>The department head of