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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 + β1Size + β2Age + ε
Model B: Price = β0 + β1 Size + β3 Loc1 + β4 Loc2 + ε
Model C: Price = β0 + β1Size + β2Age + 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.
Economic Condition
Refers to the current state of the economy in a particular area or globally, often evaluated based on factors like GDP, employment rates, and inflation.
Credit Risk
The possibility that a borrower may default on any type of debt by failing to make required payments.
Balance Sheet
A financial statement that provides a snapshot of a company's financial position, listing assets, liabilities, and equity at a specific point in time.
Accounting Equation
The foundational equation in accounting, articulated as Assets = Liabilities + Owner's Equity, representing the relationship between a company's resources and claims on those resources.
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