What does Pearson’s r tell us?
Pearson’s correlation coefficient (r) is a measure of the strength of the association between the two variables.
The nearer the scatter of points is to a straight line, the higher the strength of association between the variables.
Also, it does not matter what measurement units are used..
How do you interpret a Pearson correlation?
Degree of correlation:Perfect: If the value is near ± 1, then it said to be a perfect correlation: as one variable increases, the other variable tends to also increase (if positive) or decrease (if negative).High degree: If the coefficient value lies between ± 0.50 and ± 1, then it is said to be a strong correlation.More items…
What is a good Pearson correlation?
Calculating a Pearson correlation coefficient requires the assumption that the relationship between the two variables is linear. The relationship between two variables is generally considered strong when their r value is larger than 0.7.
Is 0.4 A strong correlation?
Generally, a value of r greater than 0.7 is considered a strong correlation. Anything between 0.5 and 0.7 is a moderate correlation, and anything less than 0.4 is considered a weak or no correlation.
Is 0.6 A strong correlation?
Correlation Coefficient = 0.8: A fairly strong positive relationship. Correlation Coefficient = 0.6: A moderate positive relationship. … Correlation Coefficient = -0.8: A fairly strong negative relationship. Correlation Coefficient = -0.6: A moderate negative relationship.
Is 0.5 A strong correlation?
Correlation coefficients whose magnitude are between 0.9 and 1.0 indicate variables which can be considered very highly correlated. … Correlation coefficients whose magnitude are between 0.5 and 0.7 indicate variables which can be considered moderately correlated.