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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.
Using Model C, define the alternative hypothesis for testing the individual significance of Age.
Lodging
Accommodation in hotels, motels, or any other establishment that provides a place to stay for a short period.
Rational Choice
A theory in economics and sociology that suggests individuals choose the option that provides the highest level of satisfaction, assuming the availability of information and a clear preference set.
Opportunity Cost
The effect of spurning potential profits from various options by selecting a particular one.
Societal Choices
Decisions made by a society as a whole about the allocation of resources and priorities among different uses.
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