My research on predicting outcomes was based on 373 students who graduated from college over the past two years. I had information on two binary variables – whether or not they had received a job offer by the day of their graduation and whether or not they had been admitted to graduate school on the day of graduation. I predicted each of these binary variables using these variables:
- Student Gender
- Cumulative GPA
- SAT total scores (from admission)
- Did the student participated as a Research Assistant in college (Y/N)
- Did the student participated as a Teaching Assistant in college (Y/N)
- Did the student participate in service activities in college (Y/N)
I made the predictions using R with the glm package with option binary.
I also did the prediction using regular linear modeling.
The report for predicting admission to grad school is below:
Although the overall model and two of the predictors are statistically significant (mostly cumulative GPA) overall only a small amount of the variance can be predicted.