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When conducting correlational analysis it is important to the variables. That is, stating a clear way that the two co-variables are going to be measured.

It is important that the two are clearly stated in the hypothesis.

When a hypothesis predicts the expected direction of the results it is referred to as a tailed hypothesis.

When a hypothesis does not predict the expected direction of the results it is referred to as a tailed hypothesis.

The hypothesis that states the expected results is called the hypothesis.

The hypothesis is a statement of no relationship.