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Explain effect of multicollinearity in discriminant analysis

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Reference no: EM132852934

Discriminant Analysis

  1. Explain the discriminant analysis model, the independent variables and the dependent variable, assumptions of the model, as well as the objectives
  2. Explain the effect of multicollinearity in discriminant analysis, and how multicollinearity is detected?
  3. Explain the hypotheses on coefficients of the model and how the results of testing these hypotheses are interpreted about significance of these coefficients? Include both unidirectional and bidirectional situations
  4. How do you interpret the effect of significant coefficients?
  5. How the distribution of the observed residuals of the constructed model are tested for normality?

Reference no: EM132852934

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