Multiple Choice
TABLE 14-6
One of the most common questions of prospective house buyers pertains to the average 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.
Model 1
Note: 2.96869E-05 = 2.96869×10-5
Model 2
Note: 2.9036E-06 = 2.9036×10-6
-Referring to Table 14-6, what is your decision and conclusion for the test H0 : β2 = 0 vs. H0 : 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 costs.
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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