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

question 71

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.


-Referring to Scenario 18-1,at the 0.01 level of significance,what conclusion should the builder reach regarding the inclusion of Income in the regression model?

• A)Income is significant in explaining house size and should be included in the model because its p-value is less than 0.01.
• B)Income is significant in explaining house size and should be included in the model because its p-value is more than 0.01.
• C)Income 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)Income is not significant in explaining house size and should not be included in the model because its p-value is more than 0.01.

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Definitions:

MTBF Distribution

The probability distribution of time between failures for a repairable system, representing Mean Time Between Failures.

Standard Deviation

A numeric value that represents the extent of spread or variability among a dataset.

Preventive Maintenance

Scheduled maintenance activities designed to prevent equipment failures before they occur, aimed at reducing downtime and increasing reliability.

Breakdown Maintenance

involves repairs or adjustments made after equipment has failed, aiming to restore it to operational condition.