Question: In using causal methods in forecasting (and in general) we must meet the essential conditions of causality (X causes Y ). These conditions are, briefly

In using causal methods in forecasting (and in general) we must

In using causal methods in forecasting (and in general) we must meet the essential conditions of causality (X causes Y ). These conditions are, briefly (choose from options below): X and Y are not in a spurious relationship, that is, no other variable is driving the observed correlation between X and Y. If X is absent, Y (or much of it) will not happen. All of the three conditions that are mentioned as options That there is an observed correlation between X and Y and that such a correlation did not emerge from coincidence or chance alone (in other words, the correlaton is statistically sig.) X precedes Y

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