Which of the following correlation coefficients may represent a strong correlation?

Correlation coefficients are statistical measures that describe the strength and direction of a relationship between two variables. The most commonly used correlation coefficient is Pearson’s r, which ranges from -1 to 1.

A strong correlation is typically indicated by a correlation coefficient close to either -1 or 1. For instance:

  • A coefficient of 0.9 or -0.9 generally indicates a strong positive or negative correlation, respectively.
  • Values around 0.7 or -0.7 suggest a moderate correlation.
  • Coefficients closer to 0 represent weak correlations.

Therefore, if you encounter correlation coefficients such as 0.85, 0.95, -0.88, or even -0.80, these can all be interpreted as strong correlations, indicating a substantial relationship between the two variables in question.

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