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Instruction 13 Y=Y = Weight-Loss (In Kilograms) X1=X _ { 1 } =

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Instruction 13.38
A weight-loss clinic wants to use regression analysis to build a model for weight-loss of a client (measured in kilograms) . Two variables thought to effect weight-loss are client's length of time on the weight loss program and time of session. These variables are described below:
Y=Y = Weight-loss (in kilograms)
X1=X _ { 1 } = Length of time in weight-loss program (in months)
x2=1x _ { 2 } = 1 if morning session, 0 if not
x3=1x _ { 3 } = 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:
Y=β0+β1X1+β2X2+β3X3+β4X1X2+β5X1X3+εY = \beta 0 + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 2 } + \beta _ { 3 } X _ { 3 } + \beta _ { 4 } X _ { 1 } X _ { 2 } + \beta _ { 5 } X _ { 1 } X _ { 3 } + \varepsilon
Partial output from Microsoft Excel follows:
 Instruction 13.38 A weight-loss clinic wants to use regression analysis to build a model for weight-loss of a client (measured in kilograms) . Two variables thought to effect 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 kilograms)   X _ { 1 } =  Length of time in weight-loss program (in months)   x _ { 2 } = 1  if morning session, 0 if not  x _ { 3 } = 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:  Y = \beta 0 + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 2 } + \beta _ { 3 } X _ { 3 } + \beta _ { 4 } X _ { 1 } X _ { 2 } + \beta _ { 5 } X _ { 1 } X _ { 3 } + \varepsilon  Partial output from Microsoft Excel follows:    -Referring to Instruction 13.38,in terms of the ?s in the model,give the mean change in weight-loss (Y) for every 1 month increase in time in the program (X<sub>1</sub>) when attending the afternoon session. A)   \beta <sub>1</sub> +  \beta <sub>4</sub> B)   \beta <sub>1</sub> +  \beta <sub>5</sub> <sub>C.</sub><sub> </sub> \beta <sub>1</sub> <sub>D.</sub><sub> </sub> \beta <sub>4</sub> +  \beta <sub>5</sub>
-Referring to Instruction 13.38,in terms of the ?s in the model,give the mean change in weight-loss (Y) for every 1 month increase in time in the program (X1) when attending the afternoon session.


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