Question: Below are the results of a Multiple Regression Analysis (MRA) that was conducted to determine which of the following variables could be used to predict the number of cancelled therapy sessions among youth in a residential treatment center: age, sex, having earned off–campus privileges, treatment group, the number of serious behavioral incidents (SBI), and the quality of the therapist–client relationship (Quality). Overall, the model explained 30.3% of the variance in the number of cancelled therapy sessions.

(Points for each sub-item are provided below; 20 points total)

COEFFICIENTS

^a Sex (0=Male, 1=Female)

^b Earned Off–Campus Privileges (0=No, 1=Yes)

^c Treatment Group (0=Routine Treatment, 1=New Treatment)

1. Present the H _a (2–tailed) for this study.
2. Present the H _o for this study.
3. Identify which variables did not significantly predict the number of cancelled therapy sessions among youth in a residential treatment center.
   
4. Identify which variables significantly predict the number of cancelled therapy sessions among youth in a residential treatment center. Which variable was the strongest predictor?
5. For each of the variables that significantly predict the number of cancelled therapy sessions among youth in a residential treatment center, specify and interpret the direction of its relationship with the outcome variable.

Price: $2.99

Solution: The downloadable solution consists of 2 pages
Deliverable: Word Document