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👉 Non-correlatively is a concept in statistics that refers to a relationship between two variables where one variable is not directly correlated with another. This means that there is no direct relationship between them, meaning they do not change together, but rather independently of each other. For example, if you have two variables X and Y, the noncorrelation between them would indicate that there is no linear relationship between these two variables, indicating that one variable does not strongly influence the other. In other words, the

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👉 Non-correlational, also known as noncorrelated or non-orthogonal, is a statistical concept that refers to two variables that are not related in any way to each other. In statistics and econometrics, this means that there is no direct relationship between the values of the two variables (i.e., they cannot be correlated with each other). This can occur when one variable is influenced by a factor or variable that is not directly observable or measurable. Non-correlational relationships are often

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