compare the mean weight change for employees who enrolled in that module to the mean weight change for employees

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syntax Requirement:

1. Next, as a preliminary but naïve test of whether the weight management module has any effect, compare the mean weight change for employees who enrolled in that module to the mean weight change for employees who did not enroll in it. Do not control for any other variables

2. As a more rigorous test of whether the weight management module has any effect, compare the mean weight change for employees who enrolled in that module to the mean weight change for employees who did not enroll in it while controlling for baseline differences in any or all of the seven potential confounding variables: WGTPRE, AGE, BODYSAT, SEPHYSACT, SEDIET, MALE, and JOBCAT.

3. Next, run two linear regression models to see if the effect of enrollment in the weight management module appears to vary by gender. Do not include any control variables (other than gender) in the first model. Include all of the control variables in the second. Note that each model should include a gender-by-enrollment interaction variable.

4. Similarly, run two linear regression models to see if they effect of enrollment in the weight management model appears to vary according to baseline body satisfaction. Do not include any control variables (other than body satisfaction) in the first model. Include all of the control variables in the second. Note that these models should include a body-satisfaction-by-enrollment interaction variable, and remember the importance of mean-centering continuous variable before forming interaction terms.

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