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Know Inf SST (2006) 10(4): 453 472 DOI 10.1007/s10115-006-0013-y Knowledge and Information Systems R E G U L A R PA P E R Tao Li Shanghai Zhu Mitsuki O'Hara Using discriminant analysis for multi-class

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What is using discriminant analysis for?

Discriminant analysis is a statistical technique used to determine which variables are most effective in predicting the category or group to which a case or observation belongs.

Who is required to file using discriminant analysis for?

There is no specific requirement for individuals or entities to file using discriminant analysis. It is a statistical technique used by researchers, analysts, or data scientists to analyze data and make predictions.

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To fill out using discriminant analysis, you need to gather the necessary data, identify the predictor variables, choose the appropriate discriminant analysis method, perform the analysis using statistical software, and interpret the results.

What is the purpose of using discriminant analysis for?

The purpose of using discriminant analysis is to understand the relationship between predictor variables and categorical outcomes or groups. It helps in classifying or predicting cases based on the given set of predictor variables.

What information must be reported on using discriminant analysis for?

The information reported in a discriminant analysis includes the predictor variables, their weights or coefficients, the discriminant functions, group means, group centroids, classification results, and measures of model fit.

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