Examlex

Solved

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

question 12

Multiple Choice

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?

Definitions:

Mindfulness

A mental practice focused on being fully present and engaged in the moment, often used as a therapeutic technique to manage stress and improve mental health.

Observing the Breath

A mindfulness technique involving focused attention on the physical sensations of breathing, often used to anchor the present moment awareness.

Inner Chatter

Refers to the ongoing flow of thoughts, often subconscious, that runs through a person's mind, affecting their mental state and behavior.

Cognitive-Behavioral

A therapeutic approach that addresses dysfunctional emotions, behaviors, and cognitions through a goal-oriented, systematic process.

Related Questions

Q12: Referring to Scenario 12-4,the calculated value of

Q21: If we use the <span

Q40: Referring to Scenario 14-4,one individual in the

Q70: In computing the expected cell frequencies for

Q77: Referring to Scenario 13-2,to test whether

Q116: Referring to Scenario 14-8,the analyst decided

Q148: Referring to Scenario 13-4,the managers of the

Q159: Referring to Scenario 16-5,the number of arrivals

Q193: Referring to Scenario 14-3,to test for the

Q238: Referring to Scenario 14-5,one company in the