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If we're trying to accurately track correlations with other lines, using averages may be like shooting ourselves in the foot. And, even if the correlations were 100% accurate, they still would not guarantee causation.
Causation, the cause and effect relationship between variables, cannot, strictly speaking, be proven using statistics...
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The various tests, techniques, and methods used in statistics, however, may measure whether the association is purely random and non-causal, or non-random, which would imply a possible causal relationship. For instance, the rooster's relationship to the sunrise, as we've discussed, can be plotted to track association...
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