Lecture
This lecture presents an analysis of jacamar data, focusing on the response of a rufous-tailed jacamar to different species of palatable butterflies with artificially colored wing undersides. The lecture covers contingency tables, Poisson response models, and the implications of including parameters for row margins. It also discusses models, probabilities, and computations related to the data. Additionally, the lecture delves into smoking data analysis, including models, likelihood ratio tests, parameter estimates, and the precision of estimates. Furthermore, it explores problems with log-linear models in the context of visual impairment data, highlighting the challenges and limitations of such models.