![]() Logistic regression is based on Maximum Likelihood (ML) Estimation which says coefficients should be chosen in such a way that it maximizes the Probability of Y given X (likelihood). In this case, two possible categories in dependent variable : " High Blood Pressure" and " Normal Blood Pressure". We are interested in knowing how variables, such as age, sex, body mass index, effect blood pressure (sbp). In this case, two possible categories in dependent variable : " Promoted" and " Not Promoted".Ģ. We are trying to calculate the factors that affects promotion. An employee may get promoted or not based on age, years of experience, last performance rating etc. In other words, it is multiple regression analysis but with a dependent variable is categorical.ġ. It is used to predict the result of a categorical dependent variable based on one or more continuous or categorical independent variables.
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