Isye 6414 - Final Flashcards 100% Complete

lOMoAR cP SD| 25 92 2 77 9 ISYE 6414 - Final Flashcards 100% Complete t=SYE 6414 - Final Terms in this set (115) Commonly used for modeling binary response data. The response variable is a binary variable, and thus, not normally distributed. Logistic Regression =n logistic regression, we model the probability of a success, not the response variable. =n this model, we do not have an error term We link the probability of success to the predicting variables using the g link function. The g function is the s-shape function that models the probability of success with respect to the predicting variables The link function g is the log of the ratio of p over one minus p, where p again is the probability of success g-function Logit function (log odds function) of the probability of success is a linear model in the predicting variables The probability of success is equal to the ratio between the exponential of the linear combination of the predicting variables over 1 plus this same exponential Odds of a success This is the exponential of the Logit function Linearity: The relationship between the g of the probability of success and the predicted variable, is