When interpreting a correlation coefficient, it is important to look at quizlet

A Pearson test statistic of .876 with a significance level of P < 0.01 would suggest what?

a) This would suggest that there is a significant, weak, positive relationship

b) This would suggest that there is a non-significant, weak, negative relationship

c) None of these This would suggest that there is a significant, strong, positive relationship

d) This would suggest that there is a non-significant, weak, positive relationship

e) This would suggest that there is a significant, strong, negative relationship

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When interpreting a correlation coefficient it is important to look at?

When interpreting a correlation coefficient, it is important to look at: The magnitude of the correlation coefficient.

What should one be careful of while interpreting the correlation data?

Also, while interpreting a relationship, one should be careful to not confound correlation and causality, because although a correlation demonstrates that a relationship exists between two variables, it does not automatically imply that one causes the other (cause-and-effect relationship).

What is the importance of coefficient of correlation?

The correlation coefficient is the specific measure that quantifies the strength of the linear relationship between two variables in a correlation analysis. The coefficient is what we symbolize with the r in a correlation report.