When it comes to determining the statistical significance of the correlation coefficient, there are rules of thumb. For example, 0.81 to 1.00 is considered to be "strong."

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This is true, as a correlation coefficient of 0.81 to 1.00 indicates a strong positive correlation. However, it's worth noting that statistical significance also depends on the sample size and other factors, and the use of rules of thumb isn't always sufficient for determining significance. It's important to conduct appropriate statistical tests to determine if the correlation is statistically significant.

When It Comes to Determining the Statistical Significance of the Correlation