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

Question 149

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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, the overall model for predicting weight loss (Y)is statistically significant at the 0.05 level. 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, the overall model for predicting weight loss (Y)is statistically significant at the 0.05 level. 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, the overall model for predicting weight loss (Y)is statistically significant at the 0.05 level. 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, the overall model for predicting weight loss (Y)is statistically significant at the 0.05 level. 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, the overall model for predicting weight loss (Y)is statistically significant at the 0.05 level. 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, the overall model for predicting weight loss (Y)is statistically significant at the 0.05 level.
-Referring to Scenario 14-11, the overall model for predicting weight loss (Y)is statistically significant at the 0.05 level.

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