The Acme Industries Safety Supervisor wants to determine the factors that predict employees passing the annual required site safety competency training course.
Data set: Ch 12 – Exercise 10A.sav
Codebook
Variable: Test_result
Definition: [Outcome] Score (percentage) on annual safety exam?
Type: Continuous (0 . . . 100)
Variable: Training_type
Definition: [Predictor] Training type
Type: Categorical (0 = Workbook, 1 = Online course, 2 = Simulation lab)
Variable: Years
Definition: [Predictor] Years of professional experience
Type: Continuous
Variable: Employment_hours
Definition: [Predictor] Part-time or full-time
Type: Categorical (0 = Part-time, 1 = Full-time)

This data set contains a polychotomous predictor variables
(Training_type), which is represented by the corresponding dummy coded variables. Follow this load procedure:
1. Move Test_result into the Dependent box.
2. Move Years and Employment_hours into the Independent(s) box.
3. Set Method to Forward.

4. Click Next.
5. Move Training_type.1 and Training_type.2 into the Independent(s) box.
a. Write the hypotheses.
b. Run each criterion of the pretest checklist (sample size, normality, multicollinearity) and discuss your findings.
c. Run the multiple regression analysis and document your findings (overall R², R² change of statistically significant predictors, hypotheses resolution).
d. Write an abstract under 200 words detailing a summary of the study, the multiple regression analysis results, hypothesis resolution, and implications of your findings.