The binary logit model commonly deals with the issue of how likely an observation is to belong to each group.It estimates the probability of an observation belonging to a particular group
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Q21: Discriminant/logit analysis is similar to regression and
Q22: In discriminant analysis,the criterion or dependent variable
Q23: The linear combinations of independent variables developed
Q24: An examination of differences across groups lies
Q25: As one of the statistics associated with
Q27: The Mahalanobis procedure is based on minimalizing
Q28: Sometimes also called confusion or prediction matrix,the
Q29: As one of the statistics associated with
Q30: The results obtained from a classification matrix
Q31: Discriminant/logit analysis is similar to regression and
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