Examlex

Solved

Instruction 13.18 One of the Most Common Questions of Prospective House Buyers

question 266

Multiple Choice

Instruction 13.18
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 four variables to predict heating costs: the daily minimum outside temperature in degrees of Celsius (X1) , the amount of insulation in cm (X2) , the number of windows in the house (X3) and the age of the furnace in years (X4) . Given below are the Microsoft Excel outputs of two regression models.
Instruction 13.18 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 four variables to predict heating costs: the daily minimum outside temperature in degrees of Celsius (X<sub>1</sub>) , the amount of insulation in cm (X<sub>2</sub>) , the number of windows in the house (X<sub>3</sub>) and the age of the furnace in years (X<sub>4</sub>) . Given below are the Microsoft Excel outputs of two regression models. -Referring to Instruction 13.18,what can you say about Model 1? A) The model explains 80.8% of the sample variability of heating costs; after correcting for the degrees of freedom, the model explains 75.7% of the sample variability of heating costs. B) The model explains 77.7% of the sample variability of heating costs; after correcting for the degrees of freedom, the model explains 75.1% of the sample variability of heating costs. C) The model explains 75.7% of the sample variability of heating costs; after correcting for the degrees of freedom, the model explains 80.8% of the sample variability of heating costs. D) The model explains 75.1% of the sample variability of heating costs; after correcting for the degrees of freedom, the model explains 77.7% of the sample variability of heating costs. Instruction 13.18 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 four variables to predict heating costs: the daily minimum outside temperature in degrees of Celsius (X<sub>1</sub>) , the amount of insulation in cm (X<sub>2</sub>) , the number of windows in the house (X<sub>3</sub>) and the age of the furnace in years (X<sub>4</sub>) . Given below are the Microsoft Excel outputs of two regression models. -Referring to Instruction 13.18,what can you say about Model 1? A) The model explains 80.8% of the sample variability of heating costs; after correcting for the degrees of freedom, the model explains 75.7% of the sample variability of heating costs. B) The model explains 77.7% of the sample variability of heating costs; after correcting for the degrees of freedom, the model explains 75.1% of the sample variability of heating costs. C) The model explains 75.7% of the sample variability of heating costs; after correcting for the degrees of freedom, the model explains 80.8% of the sample variability of heating costs. D) The model explains 75.1% of the sample variability of heating costs; after correcting for the degrees of freedom, the model explains 77.7% of the sample variability of heating costs.
-Referring to Instruction 13.18,what can you say about Model 1?

Definitions:

Self-evaluation

The process of examining one's own performance or qualities, often to identify areas for improvement.

Behavioural Plasticity

The capacity of an individual to change or adapt their behavior in response to changing environmental conditions or experiences.

External Influences

refers to factors outside an organization that can affect its operations and success, such as economic conditions, regulation, and competition.

Organizational Commitment

The psychological attachment or the sense of loyalty that employees feel towards their organization.

Related Questions

Q34: Referring to Instruction 15-6,there is sufficient evidence

Q62: Referring to Instruction 12.12,the coefficient of correlation

Q118: In selecting a forecasting model,you should perform

Q119: Referring to Instruction 13.37 Model 1,which of

Q121: Referring to Instruction 13.34,the predicted number of

Q143: Referring to Instruction 14-15,plot both the number

Q166: The sample correlation coefficient between X and

Q219: To explain personal consumption (CONS)measured in

Q233: Referring to Instruction 13.20,the F test for

Q256: Referring to Instruction 13.39,if one is already