It is important to note that there may be a non-linear association between two continuous variables, but computation of a correlation coefficient does not detect this. A correlation close to zero suggests no linear association between two continuous variables. The magnitude of the correlation coefficient indicates the strength of the association.įor example, a correlation of r = 0.9 suggests a strong, positive association between two variables, whereas a correlation of r = -0.2 suggest a weak, negative association. The sign of the correlation coefficient indicates the direction of the association. The correlation between two variables can be positive (i.e., higher levels of one variable are associated with higher levels of the other) or negative (i.e., higher levels of one variable are associated with lower levels of the other). Ranges between -1 and +1 and quantifies the direction and strength of the linear association between the two variables. The sample correlation coefficient, denoted r, In correlation analysis, we estimate a sample correlation coefficient, more specifically the Pearson Product Moment correlation coefficient.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |