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

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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, what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time on the program varies according to time of session? A) B) C) D) 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, what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time on the program varies according to time of session? A) B) C) D) 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, what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time on the program varies according to time of session? A) B) C) D) 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, what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time on the program varies according to time of session? A) B) C) D) 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, what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time on the program varies according to time of session? A) B) C) D) 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, what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time on the program varies according to time of session? A) B) C) D)
-Referring to Scenario 14-11, what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time on the 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, what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time on the program varies according to time of session? A) B) C) D) varies according to time of session?

Identify and evaluate social welfare policy components and the competency areas involved.
Recognize the importance of resiliency in individuals, families, groups, and communities.
Understand the principles and practice of supervision in social work.
Grasp the concept of evidence-based practice and its significance in social work.

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