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In both multiple and logistic regression, you learned how to examine the relationship among multiple predictors and their relationship to a single outcome. Canonical correlation takes regression to th

In both multiple and logistic regression, you learned how to examine the relationship among multiple predictors and their relationship to a single outcome. Canonical correlation takes regression to the next logical step. In this discussion, you will examine the strengths and weaknesses associated with each form of analysis, describing research situations that would be appropriate for each.

For this discussion, describe the differences among multiple regression, logistic regression, and canonical correlation.

In a minimum of 200 words, respond to the following:

  • Under what research condition would you use each analysis?
  • What are the strengths associated with each analysis?
  • What is the one major limitation of canonical correlation?
  1. Cite all sources in APA format.
  2. Please attach a Turnitin.com Report. 
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