Multiple Choice
TABLE 17-2
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 (X2) ,the number of windows in the house (X3) ,and the age of the furnace in years (X4) .Given below are the EXCEL outputs of two regression models.
-Referring to Table 17-2,what is your decision and conclusion for the test H0 : β2 = 0 vs.H1 : β2 < 0 at the α = 0.01 level of significance using Model 1?
A) Do not reject H0 and conclude that the amount of insulation has a linear effect on heating cots.
B) Reject H0 and conclude that the amount of insulation does not have a linear effect on heating costs.
C) Reject H0 and conclude that the amount of insulation has a negative linear effect on heating costs.
D) Do not reject H0 and conclude that the amount of insulation has a negative linear effect on heating costs.
Correct Answer:

Verified
Correct Answer:
Verified
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