Nominal Logistic Regressionoverview how to example data see also
Nominal Logistic RegressionStat > Regression > Nominal Logistic Regression
Use nominal logistic regression performs logistic regression on a nominal response variable using an iterative-reweighted least squares algorithm to obtain maximum likelihood estimates of the parameters [29]. Nominal variables are categorical variables that have three or more possible levels with no natural ordering. For example, the levels in a food tasting study may include crunchy, mushy, and crispy.
Response: Choose if the response data has been entered as raw data or as two columns - one containing the response values and one column containing the frequencies. Then enter the column containing the response values.
with frequency (optional): If the data has been entered as two columns - one containing the response values and one column containing the frequencies - enter the column containing the frequencies in the text box.
Model: Specify the terms to be included in the model. See Specifying the Model.
Factors (optional): Specify which of the predictors are factors. Minitab assumes all variables in the model are covariates unless specified to be factors here. Continuous predictors must be modeled as covariates; categorical predictors must be modeled as factors.