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If your correlation is higher, then the variables could have a strong partnership with one another. When the correlation is weak, then the variables are rarely similar to one another.
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In statistics, both of these concepts are extensively utilised. The examination of symmetry is more details on skewness. Aside from that, the absence of harmony is usually the situation. If your dataset appears a similar at both finishes of the middle, most of the info is symmetrical.
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