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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,what is the conclusion for testing the joint significance of the two dummy variables at the 1% significance level?
Performance Appraisal
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The practice of giving employees the authority, tools, and resources to make decisions and contribute to the company's success.
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The shared values, beliefs, and practices that shape the social and psychological environment of a business, influencing employee behavior and company operations.
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