
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, what is the experimental unit for this analysis?
A) A clinic
B) A client on a weight-loss program
C) A month
D) A morning, afternoon, or evening session
Correct Answer:
Verified
Q145: A dummy variable is used as an
Q150: If a categorical independent variable contains 2
Q152: TABLE 14-11
A weight-loss clinic wants to use
Q153: TABLE 14-12
As a project for his business
Q156: TABLE 14-11
A weight-loss clinic wants to use
Q156: If a categorical independent variable contains 4
Q159: An interaction term in a multiple regression
Q160: TABLE 14-11
A weight-loss clinic wants to use
Q161: TABLE 14-15
The superintendent of a school district
Q162: TABLE 14-15
The superintendent of a school district
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