Linear regression is used to model continuous valued functions. It is widely used, owing largely…

Linear regression is used to model continuous valued functions. It is widely used, owing largely to its simplicity. Generalized linear model represent the theoretical foundation on which linear regression can be applied to the modeling of categorical response variables. Common types of generalized linear models include logistic and poisson regression. Logistic regression models the probability of some event occurring as a linear function of set of predictor variables. Count data frequency exhibits a poisson distribution and is commonly modeled using poisson regression. Log linear models approximate discrete multidimensional probability distribution. They may be used to estimate the probability value associated with the data cube cells.