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, in terms of the β's in the model, give the average change in weight-loss (Y) for every 1 month increase in time in the program (X₁) when attending the evening session.

Question

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, in terms of the β's in the model, give the average change in weight-loss (Y) for every 1 month increase in time in the program (X₁) when attending the evening session.

Quizplus · Accepted Answer

The average change in weight-loss (Y) for every 1 month increase in time in the program (X1) when attending the evening session is given by the coefficient of X1 in the model when the evening session dummy variable is equal to 1. This is β1.

TABLE 14-11 A Weight-Loss Clinic Wants to Use Regression Analysis to Build