Multiple Choice
SCENARIO 18-2 One of the most common questions of prospective house buyers pertains to the cost of heating in dollars (Y) .To provide its customers with information on that matter, a large real estate firm used the following 4 variables to predict heating costs: the daily minimum outside temperature in degrees of Fahrenheit ( ) , the amount of insulation in inches (
) , the number of windows in the house (
) , and the age of the furnace in years (
) .Given below are the EXCEL outputs of two regression models.
-Referring to Scenario 18-2 and allowing for a 1% probability of committing a type I error, what is the decision and conclusion for the test j =1, 2,..., 4 using Model 1?
A) Do not reject and conclude that the 4 independent variables have significant individual linear effects on heating costs.
B) Reject and conclude that the 4 independent variables taken as a group have significant linear effects on heating costs.
C) Do not reject and conclude that the 4 independent variables taken as a group do not have significant linear effects on heating costs.
D) Reject and conclude that the 4 independent variables taken as a group do not have significant linear effects on heating costs.
Correct Answer:

Verified
Correct Answer:
Verified
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