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:
-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
Correct Answer:
Verified
Q337: TABLE 14-2<br>A professor of industrial relations believes
Q338: TABLE 14-17<br> <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB1602/.jpg" alt="TABLE 14-17
Q339: An interaction term in a multiple regression
Q340: TABLE 14-16<br>What are the factors that determine
Q341: TABLE 14-3<br>An economist is interested to see
Q343: TABLE 14-3<br>An economist is interested to see
Q344: TABLE 14-8<br>A financial analyst wanted to examine
Q345: TABLE 14-4<br>A real estate builder wishes to
Q346: TABLE 14-5<br>A microeconomist wants to determine how
Q347: TABLE 14-7<br>The department head of the accounting