In an effort to identify the characteristics of incoming high school students who are most vulnerable to dropping out, the research staff gathered data on the senior students at the end of the school year. Based on these data, freshmen who are identified as vulnerable to dropping out will be offered access to free comprehensive tutorial services.
Data set: Ch 12 – Exercise 08B.sav
Codebook
Variable: HS_completion
Definition: [Outcome] Overall academic performance (0 . . . 100)
Type: Continuous
Variable: Gender
Definition: [Predictor] Gender
Type: Categorical (0 = Female, 1 = Male)
Variable: Adjusted_income
Definition: [Predictor] Annual household income ÷ number of people in household
Type: Continuous
Variable: Education_parents
Definition: [Predictor] Highest years of parent’s education
Type: Continuous (e.g., High school = 12, Associate’s = 14, Bachelor’s = 16, Master’s = 18, Doctorate > 18)
Variable: Language_skill

Definition: [Predictor] Pre–high school reading and writing skills placement exam
Type: Continuous
Variable: Math_skill
Definition: [Predictor] Pre–high school math skills placement exam
Type: Continuous
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.

The Education_parents variable has been recoded from a continuous variable (total number of years of education) to a categorical variable (0 = No college degree, 1 = College degree)