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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?

Definitions:

Magnetic Resonance Imaging

An imaging test that uses a magnetic field and radio waves to create detailed images of the organs and tissues within the body.

Radiation Absorbed Dose

A unit of measurement for the amount of radiation energy absorbed by a mass of material, typically tissue.

CT

Computed Tomography, an imaging procedure that uses special x-ray equipment to create detailed pictures, or scans, of areas inside the body.

AP

stands for Anteroposterior, a term used in radiology to describe the direction of an X-ray beam from front to back.

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