Attached to this post is an SPSS data file containing two variables: SAT-Math group, and Fall-to-Fall Persistence outcomes of first year college students. The dichotomized SAT-Math variable has two levels coded 0 or 1. Students that scored below the mean on the SAT-Math were assigned a code of 0, and students that scores above the mean were assigned a code or 1. The binary Persistence variable is coded 0 for dropout, and 1 for persistence. That is, students that did not persist into the second year of college (dropped out) were given a code of 0, and students that did persist into the second were given a code of 1. The research question is, are SAT-Math levels (the IV) predictive of year-to-year persistence (the DV) among 1st year college students. The assignment is to conduct a simple logistical regression to determine or SAT-performance is related to term-to-term persistence among college students.Summarize the results for the logistical regression. Use my sample summary as a model for you summary.Be sure to:Report and interpret for the1) findings for the significance of the overall model2) The Conditional Probabilities and the Risk Ratio3) The Conditional Odds and the Odds Ratio4) The slope and the intercept.The Chi-square test is optional but I would encourage you to conduct it, and to summarize the results for it.
