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TABLE 14-11
A weight-loss clinic wants to use regression analysis to build a model for weight-loss of a client (measured in pounds) . Two variables thought to affect weight-loss are client's length of time on the weight-loss program and time of session. These variables are described below:
Y = Weight-loss (in pounds)
X₁ = Length of time in weight-loss program (in months)
X₂ = 1 if morning session, 0 if not
X₃ = 1 if afternoon session, 0 if not (Base level = evening session)
Data for 12 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:
Y = β₀ + β₁X₁ + β₂X₂ + β₃X₃ + β₄X₁X₂ + β₅X₁X₂ + ε
Partial output from Microsoft Excel follows:
-Referring to Table 14-11, which of the following statements is supported by the analysis shown?
Government Price Control
Regulatory measures by government entities designed to set or limit the prices of certain goods and services.
Quantity of Sales
The total number of units of a product or service sold within a specific period.
Price Effect
The impact that changing prices have on the demand and supply of goods and services in the market.
Elastic Supply
A situation in which the supply of a product changes significantly when its price changes.
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