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Correlation is when two things are related or have similar properties and they can exist independently. Causation means that one thing made the other thing happen.
The relationship between two sets of data can be described in terms of correlation, causation, or association. Correlation indicates how closely the two sets move together, while causation implies that changes in one set directly influence the other. Analyzing the relationship can reveal patterns, trends, or dependencies that inform insights and decision-making. Statistical methods, like regression analysis, are often used to quantify and interpret these relationships.
correlation implies the cause and effect relationship,, but casuality doesn't imply correlation.
Yes, it is possible for two dependent events to have the same probability of occurring. The probability of an event is dependent on the outcomes of other events, and it is influenced by the relationship between these events. So, it is conceivable for two dependent events to have equal probabilities.
NO. correlation just (implies) a relationship ... for example, both may be caused by the same thing.