After attending the lecture, I learned multiple logistic regression. I’ve learned that this statistical method allows me to analyze the influence of multiple predictor variables on a binary outcome. I can estimate coefficients for each predictor, which reveal how they impact the likelihood of the event occurring. I understand that positive coefficients increase the likelihood, while negative coefficients decrease it. This knowledge equips me to apply multiple logistic regression for a deeper understanding of complex relationships.
I also learned about multinomial logistic regression. I’ve learned that this statistical technique is used when the outcome variable has more than two categories, and it allows me to model the probability of each category based on predictor variables. I can estimate coefficients for each predictor and category, helping me understand how these predictors influence the likelihood of being in a specific category relative to a reference category. This knowledge equips me to apply multinomial logistic regression for analyzing and predicting categorical outcomes with multiple categories