Instruction 13-9
A weight-loss clinic wants to use regression analysis to build a model for weight-loss of a client (measured in kilograms) .Two variables thought to effect 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 kilograms)
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 + β5X1X3 + ε
Partial output from Microsoft Excel follows:
Regression Statistics
ANOVA
-Referring to Instruction 13-9,which of the following statements is supported by the analysis shown?
A) There is sufficient evidence (at ? = 0.05) of curvature in the relationship between weight-loss (Y) and months in program(X1) .
B) There is sufficient evidence (at ? = 0.10) to indicate that the session time (morning,afternoon,evening) affects weight-loss (Y) .
C) There is sufficient evidence (at ? = 0.05) to indicate that the relationship between weight-loss (Y) and months in program (X1) depends on session time.
D) There is insufficient evidence (at ? = 0.10) to indicate that the relationship between weight-loss (Y) and months in program(X1) depends on session time.
Correct Answer:
Verified
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Q256: An interaction term in a multiple regression
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