+1 862 207 3288 Multinomial logistic regression (frequently just called ‘multinomial relapse’) is utilized to foresee nominal dependent variable given one or more independent variables. It is now and then considered an expansion of binomial logistic regression to take into consideration a predictor variable with more than two classes. Likewise with different sorts of regression, multinomial logistic regression can have nominal and/or continuous independent variables and can have connections between explanatory variables to anticipate the predictor variable.
For instance, you could utilize multinomial logistic regression to comprehend which kind of beverage customers incline toward in light of area in the Canada and age (i.e., the predictor variable would be “sort of beverage”, with four classes – Coffee, Soft Drink, Tea and Water – and your explanatory variables would be the nominal variable, “area in Canada”, evaluated utilizing three classifications – Toronto, South Canada and North Canada – and the consistent variable, “age”, measured in years).
