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 ( X1 ) , the amount of insulation in inches ( X 2 ) , the number of windows in the house ( X3 ) , and the age of the furnace in years ( X 4 ) . 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 H0 : 1 = 2 = 3 = 4 = 0 vs.H1 : At least one j 0, j = 1,2,...,4 using Model 1?
A) Do not reject H0 and conclude that the 4 independent variables have significant individual linear effects on heating costs.
B) Reject H0 and conclude that the 4 independent variables taken as a group have significant linear effects on heating costs.
C) Do not reject H0 and conclude that the 4 independent variables taken as a group do not have significant linear effects on heating costs.
D) Reject H0 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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