In: Math
Logistic regression predicts a 1._____________, 2._____________, 3.______________from one or more categorical or continuous predictor variables.
Logistic Regression regression predicts the following things from the one or more categerical or continious predictor variables .
1 . It is useful when the dependent variable is binary , It is used to descibe data and explain the relationship between one dependent binary variable and one or more nominal ,ordinal , interval or ratio level independent variables. For example Marrying the boss's daughter puts you at a higher probability for job promotion than undertaking hours unpaid overtime each week .
2. It is useful for prediction of group membership .
3. Logistic regression deals with this problem by using a logarithmic transformation on the outcome variable which allows us to model a nonlinear assosiation to linear association .
4.The predict probability of the outcome occurring .
5. For classificastion purpose For example our goal was classify student applications as admit or reject . In this case dependent variable are Admit or not admit .which is categerical variable ,predictor variable are GPA , rank .
6.It is also useful to predict the models .
7.Use to predict complex function.
8.Imagisigmentation and categarasation ,geographic image processing ,handwriting regegonation .
9.predicting person depress or not using the term support vector machine .
This are things logistic regression use to predicts .