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
Data for 25 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:
Y = β0 + β1X1 + β2X2 + β3X1X2 + ε
Output from Microsoft Excel follows:
-True or False: Referring to Table 14-11,the overall model for predicting weight loss (Y)is statistically significant at the 0.05 level.
Correct Answer:
Verified
Q121: TABLE 14-10
You worked as an intern at
Q125: TABLE 14-10
You worked as an intern at
Q133: TABLE 14-10
You worked as an intern at
Q142: In a multiple regression model,the adjusted r
Q143: An interaction term in a multiple regression
Q145: A dummy variable is used as an
Q166: TABLE 14-10
You worked as an intern at
Q168: TABLE 14-11
A weight-loss clinic wants to use
Q172: TABLE 14-11
A weight-loss clinic wants to use
Q173: TABLE 14-12
As a project for his business
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