Assertion: kendall correlation | /r/HasProperty | high
Facets:
value: between the two variables
type: OTHER
value: intuitively
type: DEGREE
value: between low
type: OTHER
Source sentences:
text: Intuitively, the Kendall correlation between two variables will be high when observations have a similar (or identical for a correlation of 1) rank (i.e. relative position label of the observations within the variable: 1st, 2nd, 3rd, etc.) between the two variables, and low when observations have a dissimilar (or fully different for a correlation of −1) rank between the two variables.