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Correlation Assessment: The Evaluation analyzes the strength of the connection involving two quantitative variables. If the correlation is large, the variables have a powerful Affiliation with each other, and when it really is minimal, There exists a weaker relationship. Discrimination and classification: Discrimination is used to separate objects from a data established, While when information is classified into diverse groups, it is called classification.
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