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TABLE 14-11 A Weight-Loss Clinic Wants to Use Regression Analysis to Build

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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:
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:    Data for 12 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:    Partial output from Microsoft Excel follows: Regression Statistics    ANOVA    -Referring to Table 14-11, which of the following statements is supported by the analysis shown? A)  There is sufficient evidence (at α = 0.05)  of curvature in the relationship between weight-loss (Y)  and months in program(X<sub>1</sub>) . B)  There is sufficient evidence (at α = 0.05)  to indicate that the relationship between weight-loss (Y)  and months in program (X<sub>1</sub>)  depends on session time. C)  There is sufficient evidence (at α = 0.10)  to indicate that the session time (morning, afternoon, evening)  affects weight-loss (Y) . D)  There is insufficient evidence (at α = 0.10)  to indicate that the relationship between weight-loss (Y)  and months in program (X<sub>1</sub>)  depends on session time. Data for 12 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:
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:    Data for 12 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:    Partial output from Microsoft Excel follows: Regression Statistics    ANOVA    -Referring to Table 14-11, which of the following statements is supported by the analysis shown? A)  There is sufficient evidence (at α = 0.05)  of curvature in the relationship between weight-loss (Y)  and months in program(X<sub>1</sub>) . B)  There is sufficient evidence (at α = 0.05)  to indicate that the relationship between weight-loss (Y)  and months in program (X<sub>1</sub>)  depends on session time. C)  There is sufficient evidence (at α = 0.10)  to indicate that the session time (morning, afternoon, evening)  affects weight-loss (Y) . D)  There is insufficient evidence (at α = 0.10)  to indicate that the relationship between weight-loss (Y)  and months in program (X<sub>1</sub>)  depends on session time. Partial output from Microsoft Excel follows:
Regression Statistics
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:    Data for 12 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:    Partial output from Microsoft Excel follows: Regression Statistics    ANOVA    -Referring to Table 14-11, which of the following statements is supported by the analysis shown? A)  There is sufficient evidence (at α = 0.05)  of curvature in the relationship between weight-loss (Y)  and months in program(X<sub>1</sub>) . B)  There is sufficient evidence (at α = 0.05)  to indicate that the relationship between weight-loss (Y)  and months in program (X<sub>1</sub>)  depends on session time. C)  There is sufficient evidence (at α = 0.10)  to indicate that the session time (morning, afternoon, evening)  affects weight-loss (Y) . D)  There is insufficient evidence (at α = 0.10)  to indicate that the relationship between weight-loss (Y)  and months in program (X<sub>1</sub>)  depends on session time. ANOVA
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:    Data for 12 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:    Partial output from Microsoft Excel follows: Regression Statistics    ANOVA    -Referring to Table 14-11, which of the following statements is supported by the analysis shown? A)  There is sufficient evidence (at α = 0.05)  of curvature in the relationship between weight-loss (Y)  and months in program(X<sub>1</sub>) . B)  There is sufficient evidence (at α = 0.05)  to indicate that the relationship between weight-loss (Y)  and months in program (X<sub>1</sub>)  depends on session time. C)  There is sufficient evidence (at α = 0.10)  to indicate that the session time (morning, afternoon, evening)  affects weight-loss (Y) . D)  There is insufficient evidence (at α = 0.10)  to indicate that the relationship between weight-loss (Y)  and months in program (X<sub>1</sub>)  depends on session time.
-Referring to Table 14-11, which of the following statements is supported by the analysis shown?


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