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Exhibit 17.8.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 + β1Size + β2Loc1 + β3Loc2 + ε,
Model C: Price = β0 + β1Size + β2Age + β3Loc1 + β4Loc2 + ε,
where,
Price = the price of a home (in $thousands),
Size = the square footage (in square 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.
Refer to Exhibit 17.8.Using Model C,what is the conclusion for testing the joint significance of the two dummy variables at the 1% significance level?
Real Domestic Output
The total value of all goods and services produced within a country's borders, adjusted for inflation.
Equilibrium
An equilibrium state in the market where supply meets demand, stabilizing prices as a consequence.
Aggregate Supply
Aggregate supply constitutes the total supply of goods and services produced within an economy at a given overall price level in a specified time period.
Aggregate Demand
Refers to the total demand for goods and services within an economy at a given overall price level and in a given time period.
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