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SCENARIO 14-6 One of the Most Common Questions of Prospective House Buyers

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SCENARIO 14-6
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 2 variables to predict heating costs: the daily minimum outside temperature in degrees of Fahrenheit ( X1 ) and the amount of insulation in inches ( X 2 ) . Given below is EXCEL output of the regression model.
SCENARIO 14-6 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 2 variables to predict heating costs: the daily minimum outside temperature in degrees of Fahrenheit ( X<sub>1</sub> )  and the amount of insulation in inches ( X <sub>2</sub> ) . Given below is EXCEL output of the regression model.       Also SSR (X<sub>1</sub> | X<sub>2</sub>)  = 8343.3572 and SSR (X<sub>2</sub> | X<sub>1</sub>)  = 4199.2672 -Referring to Scenario 14-6,what can we say about the regression model? A) The model explains 17.12% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 27.78% of the sample variability of heating costs. B) The model explains 19.28% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 27.78% of the sample variability of heating costs. C) The model explains 27.78% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 19.28% of the sample variability of heating costs. D) The model explains 19.28% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 17.12% of the sample variability of heating costs.
SCENARIO 14-6 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 2 variables to predict heating costs: the daily minimum outside temperature in degrees of Fahrenheit ( X<sub>1</sub> )  and the amount of insulation in inches ( X <sub>2</sub> ) . Given below is EXCEL output of the regression model.       Also SSR (X<sub>1</sub> | X<sub>2</sub>)  = 8343.3572 and SSR (X<sub>2</sub> | X<sub>1</sub>)  = 4199.2672 -Referring to Scenario 14-6,what can we say about the regression model? A) The model explains 17.12% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 27.78% of the sample variability of heating costs. B) The model explains 19.28% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 27.78% of the sample variability of heating costs. C) The model explains 27.78% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 19.28% of the sample variability of heating costs. D) The model explains 19.28% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 17.12% of the sample variability of heating costs.
SCENARIO 14-6 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 2 variables to predict heating costs: the daily minimum outside temperature in degrees of Fahrenheit ( X<sub>1</sub> )  and the amount of insulation in inches ( X <sub>2</sub> ) . Given below is EXCEL output of the regression model.       Also SSR (X<sub>1</sub> | X<sub>2</sub>)  = 8343.3572 and SSR (X<sub>2</sub> | X<sub>1</sub>)  = 4199.2672 -Referring to Scenario 14-6,what can we say about the regression model? A) The model explains 17.12% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 27.78% of the sample variability of heating costs. B) The model explains 19.28% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 27.78% of the sample variability of heating costs. C) The model explains 27.78% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 19.28% of the sample variability of heating costs. D) The model explains 19.28% of the variability of heating costs;after correcting for the degrees of freedom,the model explains 17.12% of the sample variability of heating costs.
Also SSR (X1 | X2) = 8343.3572 and SSR (X2 | X1) = 4199.2672
-Referring to Scenario 14-6,what can we say about the regression model?


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