What is a positive attribute of linear discriminate analysis?
A) The model is interpretable and prediction is easy.
B) It can be used with a constant p-value less than .05, so significance is implied.
C) It can be used in place of logistic and simple regression techniques in most cases.
D) It used the cubed distance between predictor variables, creating validation of the data.
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