How does the strength and direction of the correlation between two variables affect the usefulness of a linear regression model for prediction?
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How does the strength and direction of the correlation between two variables affect the usefulness of a linear regression model for prediction?
If the correlation between two variables is strong, the regression model will give more accurate predictions.
If the correlation is weak, the regression model will be less useful for prediction.