What range of Pearson Coefficient ‘p’ is considered too high to support any certainty about the correlation of variables?1 pointp > 0.10.001 < p < 0.05 p < 0.001

The Pearson Correlation Coefficient, often denoted as 'r' or 'p', measures the strength and direction of the linear relationship between two variables. The value of the Pearson Correlation Coefficient can range from -1 to +1. A value of +1 indicates a perfect positive linear relationship, a value of -1 indicates a perfect negative linear relationship, and a value of 0 indicates no linear relationship.

In terms of interpreting the strength of the correlation, the closer the coefficient is to either -1 or +1, the stronger the correlation between the variables. If the coefficient is close to 0, it suggests a weak or no correlation.

In many fields, the following guidelines for interpreting a correlation coefficient are used:

• 0.00 to 0.19: very weak
• 0.20 to 0.39: weak
• 0.40 to 0.59: moderate
• 0.60 to 0.79: strong
• 0.80 to 1.00: very strong

However, the question seems to be asking about the p-value associated with the correlation coefficient, which is a measure of the probability that the observed correlation occurred by chance. A smaller p-value indicates that the correlation is statistically significant.

In many fields, a p-value less than 0.05 is considered statistically significant, meaning there is less than a 5% probability that the observed correlation occurred by chance. A p-value less than 0.01 is often considered highly statistically significant.

So, to answer your question, a p-value greater than 0.10 would generally be considered too high to support any certainty about the correlation of variables. This means there is more than a 10% chance that the observed correlation occurred by chance, which is generally not considered statistically significant.