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Correlations have predictive value. Once a statistical relationship between two variables is observed and its strength is determined, this information can be used to predict one variable based on the other. For instance, observing strong correlations in existing data helps in predicting relative success or forecasting future outcomes in similar scenarios.

Predictive Value of Correlation

A practical application of correlation's predictive value can be seen in university admissions. An admissions committee might analyze the relationship between current students' standardized test scores (e.g., SAT or ACT) and their college GPA. If a strong correlation is found, the committee can use applicants' test scores to predict their potential for academic success, helping to inform admission decisions.

Example of Predictive Value: University Admissions

Based on the identified relationship, how can the company's management use upcoming seasonal weather forecasts to make a more effective decision about their inventory levels for thermal gloves? Explain the specific prediction they can make and the action they should take.

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