A novel approach to help prevent recidivism was put in place in state prisons. Certain convicts were provided with financial aid and followed for 52 weeks to see if they reoffended. You are asked to evaluate the program and make recommendations based on the enclosed data. Upload no more than two pages consisting of clear recommendations. Then include your final model with p-values and anything else you feel relevant. Use logistic regression. Use set.seed(111). Spit the data 60% and 40%. Include the confusion matrices for both validations and fitted data. 432 convicts released from state prisons in the • Followed for a year after release • 50% chosen at random to receive financial aid • 52 means not arrested during the year • arrest: 1=arrested; 0= not arrested • fin: 1 if given aid; 0 if not given aid • Other variables • Race • Work experience before incarceration • Marital status at time of release • Released on parole? • Number of prior convictions • Education (2=6th grade or less; 3=7th to 9th; 4=10th to 11th; 5=12th; 6=some college) • Employment status after given week of release
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