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SCENARIO 14-11 a Weight-Loss Clinic Wants to Use Regression Analysis

Question 177

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SCENARIO 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 SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. Weight loss (in pounds) SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. Length of time in weight-loss program (in months) SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. 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 SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. Output from Microsoft Excel follows: SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time.
-Referring to Scenario 14-11, which of the following statements is supported by the analysis shown?


A) There is sufficient evidence (at SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. = 0.05) of curvature in the relationship between weight loss (Y) and months on program SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time.
B) There is sufficient evidence (at SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. = 0.05) to indicate that the relationship between weight loss (Y) and months on program SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. varies with session time.
C) There is insufficient evidence (at SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. = 0.05) of curvature in the relationship between weight loss (Y) and months on program SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time.
D) There is insufficient evidence (at SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. = 0.05) to indicate that the relationship between weight loss (Y) and months on program SCENARIO 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)    Length of time in weight-loss program (in months)    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   Output from Microsoft Excel follows:     -Referring to Scenario 14-11, 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 on program   B) There is sufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. C) There is insufficient evidence (at   = 0.05) of curvature in the relationship between weight loss (Y) and months on program   D) There is insufficient evidence (at   = 0.05) to indicate that the relationship between weight loss (Y) and months on program   varies with session time. varies with session time.

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