Assertion: correlation's value | /r/HasProperty | near
Facets:
value: to positive 1
type: OTHER
value: at the mean
type: DEGREE
value: to +1
type: OTHER
value: to -1
type: OTHER
Source sentences:
text: If the value is near to positive 1, this means there is a perfect positive interrelation between the two variables; it indicates that if one variable increases positively the other variable also increases in the same direction.
text: The hypothesis test will let us infer whether the value of the population correlation coefficient ρ is close to 0 or significantly different from 0.
text: On the other side, if the value is near to negative 1, this means that there is a perfect negative correlation.
text: The conclusion is that the stronger the interrelation between variable when the value of r is near to +1 or -1.
text: For low z values of x, where the value is close to or at the mean, the corresponding normalized z value of y likely will be greater because of the deviation in y that is not explained by x.