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A realtor wants to predict and compare the prices of homes in three neighboring locations. She considers the following linear models:
Model A: Price = β0 + β1 Size + β2 Age + ε
Model B: Price = β0 + β1 Size + β3 Loc1 + β4 Loc2 + ε
Model C: Price = β0 + β1 Size + β2 Age + β3 Loc1 + β4 Loc2 + ε
where,
Price = the price of a home (in $1,000s)
Size = the square footage (in sq. feet)
Loc1 = a dummy variable taking on 1 for Location 1, and 0 otherwise
Loc2 = a dummy variable taking on 1 for Location 2, and 0 otherwise
After collecting data on 52 sales and applying regression, her findings were summarized in the following table. Note: The values of relevant test statistics are shown in parentheses below the estimated coefficients.
What is the regression equation for model B?
Wealth
An abundance of valuable resources or material possessions.
Happiness
A state of well-being and contentment, characterized by emotions ranging from contentment to intense joy.
Communication Skills
The ability to convey or exchange information effectively through various forms such as verbal, non-verbal, written, and visual.
Final Remarks
The concluding comments or observations at the end of a discourse or document.
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