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SCENARIO 18-6 a Weight-Loss Clinic Wants to Use Regression Analysis

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SCENARIO 18-6 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) SCENARIO 18-6 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)    = Length of time in weight-loss program (in months)    = 1 if morning session, 0 if not   = 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:   Partial output from Microsoft Excel follows:   -Referring to Scenario 18-6, 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(   ) . B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight-loss (Y) and months in program (   ) depends on session time. C) There is sufficient evidence (at   = 0.10) to indicate that the session time (morning, afternoon, evening) affects weight-loss (Y) . D) There is insufficient evidence (at   = 0.10) to indicate that the relationship between weight-loss (Y) and months in program(   depends on session time. = Length of time in weight-loss program (in months) SCENARIO 18-6 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)    = Length of time in weight-loss program (in months)    = 1 if morning session, 0 if not   = 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:   Partial output from Microsoft Excel follows:   -Referring to Scenario 18-6, 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(   ) . B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight-loss (Y) and months in program (   ) depends on session time. C) There is sufficient evidence (at   = 0.10) to indicate that the session time (morning, afternoon, evening) affects weight-loss (Y) . D) There is insufficient evidence (at   = 0.10) to indicate that the relationship between weight-loss (Y) and months in program(   depends on session time. = 1 if morning session, 0 if not SCENARIO 18-6 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)    = Length of time in weight-loss program (in months)    = 1 if morning session, 0 if not   = 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:   Partial output from Microsoft Excel follows:   -Referring to Scenario 18-6, 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(   ) . B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight-loss (Y) and months in program (   ) depends on session time. C) There is sufficient evidence (at   = 0.10) to indicate that the session time (morning, afternoon, evening) affects weight-loss (Y) . D) There is insufficient evidence (at   = 0.10) to indicate that the relationship between weight-loss (Y) and months in program(   depends on session time. = 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: SCENARIO 18-6 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)    = Length of time in weight-loss program (in months)    = 1 if morning session, 0 if not   = 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:   Partial output from Microsoft Excel follows:   -Referring to Scenario 18-6, 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(   ) . B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight-loss (Y) and months in program (   ) depends on session time. C) There is sufficient evidence (at   = 0.10) to indicate that the session time (morning, afternoon, evening) affects weight-loss (Y) . D) There is insufficient evidence (at   = 0.10) to indicate that the relationship between weight-loss (Y) and months in program(   depends on session time. Partial output from Microsoft Excel follows: SCENARIO 18-6 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)    = Length of time in weight-loss program (in months)    = 1 if morning session, 0 if not   = 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:   Partial output from Microsoft Excel follows:   -Referring to Scenario 18-6, 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(   ) . B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight-loss (Y) and months in program (   ) depends on session time. C) There is sufficient evidence (at   = 0.10) to indicate that the session time (morning, afternoon, evening) affects weight-loss (Y) . D) There is insufficient evidence (at   = 0.10) to indicate that the relationship between weight-loss (Y) and months in program(   depends on session time.
-Referring to Scenario 18-6, which of the following statements is supported by the analysis shown?


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