Examlex

Solved

SCENARIO 18-2 One of the Most Common Questions of Prospective House Buyers

question 136

Multiple Choice

SCENARIO 18-2
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 ( X 2 ) , the number of windows in the house ( X3 ) , and the age of the furnace in years ( X 4 ) . Given below are the EXCEL outputs of two regression models.
SCENARIO 18-2 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 ( X<sub>1</sub> ) , the amount of insulation in inches ( 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 EXCEL outputs of two regression models. -Referring to Scenario 18-1,at the 0.01 level of significance,what conclusion should the builder draw regarding the inclusion of School in the regression model? A) School is significant in explaining house size and should be included in the model because its p-value is less than 0.01. B) School is significant in explaining house size and should be included in the model because its p-value is more than 0.01. C) School is not significant in explaining house size and should not be included in the model because its p-value is less than 0.01. D) School is not significant in explaining house size and should not be included in the model because its p-value is more than 0.01.
SCENARIO 18-2 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 ( X<sub>1</sub> ) , the amount of insulation in inches ( 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 EXCEL outputs of two regression models. -Referring to Scenario 18-1,at the 0.01 level of significance,what conclusion should the builder draw regarding the inclusion of School in the regression model? A) School is significant in explaining house size and should be included in the model because its p-value is less than 0.01. B) School is significant in explaining house size and should be included in the model because its p-value is more than 0.01. C) School is not significant in explaining house size and should not be included in the model because its p-value is less than 0.01. D) School is not significant in explaining house size and should not be included in the model because its p-value is more than 0.01.
-Referring to Scenario 18-1,at the 0.01 level of significance,what conclusion should the builder draw regarding the inclusion of School in the regression model?

Comprehend the principles of radiometric dating and the concept of half-lives.
Describe the formation and significance of various unconformities.
Grasp the concept of geologic time and the main subdivisions of the geologic timescale.
Distinguish between real fossils and look-alikes that are not fossils.

Definitions:

Derived Class

A class in object-oriented programming that inherits properties, methods, and behaviors from another class, known as the base or parent class.

Instance Variables

Variables defined in a class for which each instantiated object of the class has a separate copy, or instance.

Code Reuse

The practice in software development of using existing code for a new function or a different purpose to increase productivity and improve quality.

Super Class

In object-oriented programming, the class from which a subclass inherits properties and methods.

Related Questions

Q9: Most information design specialists prefer bullet graphs

Q11: Referring to Scenario 18-8,the null hypothesis

Q27: Referring to Scenario 17-6,how many hidden nodes

Q29: Referring to Scenario 19-7,based on the R

Q58: Treemaps that use color to represent the

Q95: Referring to Scenario 19-9,estimate the percentage of

Q125: Referring to Scenario 18-8,you can conclude

Q128: Referring to Scenario 16-13,what is the p-value

Q149: Referring to Scenario 19-9,construct an R chart

Q287: Referring to Scenario 18-1,the observed value of