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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.
Controllable Variance
Controllable variance refers to the difference between actual and expected figures that can be influenced by the actions of managers.
Overhead Costs
General expenses related to the operation of a business that are not directly attributed to creating a product or service.
Volume Variance
The difference between the budgeted and actual quantity of units sold or produced, affecting budget and operational planning.
Fixed Overhead
The costs that do not vary with the level of production or sales, such as rent, salaries, and insurance.
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