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...
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.
What is a good Pearson correlation value?
The values range between -1.0 and 1.0. A calculated number greater than 1.0 or less than -1.0 means that there was an error in the correlation measurement. A correlation of -1.0 shows a perfect negative correlation, while a correlation of 1.0 shows a perfect positive correlation.
Is 0.3 A strong correlation?
Values between 0 and 0.3 (0 and −0.3) indicate a weak positive (negative) linear relationship through a shaky linear rule. Values between 0.3 and 0.7 (0.3 and −0.7) indicate a moderate positive (negative) linear relationship through a fuzzy-firm linear rule.