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There is probably no such study.

A correlation or regression analysis works only with linear relationships. Any even function over a symmetric interval will give a correlation coefficient of 0; suggesting no relationship and so no predictive power. That is utter nonsense.

If two variables are independent of one another but are affected by a third variable which is unknown to (or overlooked by) the experimenter then one of the two observed variables may appear to predict the other observed variable but that will fall apart if the unknown variable changes.

For example observed variables: my age and number of cars in the country. Both related to time and fairly good predictive power. But the predictive power will fail if I move to Another Country.

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Hillard Huel

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Q: Which research method assesses how well one variable predicts another without demonstrating a cause-effect relationship between the variables?
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Which research method assesses how well one variable predicts another without specifying a cause and effect relationship between the variables?

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Which research method assesses how well one variable predicts another without demonstrating a cause-and-effect relationship between the variables?

There is probably no such study. A correlation or regression analysis works only with linear relationships. Any even function over a symmetric interval will give a correlation coefficient of 0; suggesting no relationship and so no predictive power. That is utter nonsense. If two variables are independent of one another but are affected by a third variable which is unknown to (or overlooked by) the experimenter then one of the two observed variables may appear to predict the other observed variable but that will fall apart if the unknown variable changes. For example observed variables: my age and number of cars in the country. Both related to time and fairly good predictive power. But the predictive power will fail if I move to another country.


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