Assertion: correlation | /r/HasProperty | strong
Facets:
value: fairly
type: DEGREE
value: for women
type: OTHER
value: around -0.2
type: OTHER
value: for both cvd mortality
type: OTHER
value: for lung cancer
type: OTHER
Source sentences:
text: For this kind of data, we generally consider correlations above 0.4 to be relatively strong; correlations between 0.2 and 0.4 are moderate, and those below 0.2 are considered weak.
text: If there were considerable scatter of your points from a line, then the correlation would be weak.
text: Correlation Coefficient = 0.8: A fairly strong positive relationship.
text: So a correlation coefficient of -.59 would be considered a strong negative relationship whereas an r value of .15 would be considered a weak positive.
text: If the correlation is strong, you can predict X from Y, and Y from X
text: The correlation with amount of smoking was strong for both CVD mortality (r= 0.98) and for lung cancer (r = 0.99).
text: For women of childbearing age in the United States, the correlation between education and number of children is around -0.2; not strong, but there.
text: This distribution causes that you can be sure about the relationship between the things only if you have several data and if the correlation is strong.