For my presentation, I created a logistic regression model based on gender and ethnicity in order to predict the success of women in entrance to STEM major classes at Penn State. Real-life data from Penn State Undergraduate Education was used to make this model. I completed the variable selection process, validity assumptions, and demonstrated how the model could be used to predict the success of an undergraduate STEM major based on demographic factors. However, these models proved that Gender is not a statistically significant predictor of success.