If two variables are very strongly associated, the correlation between them will be near 1.0 or -1.0.
A) False
B) True
I put false because the variable have to be quantitative and they have to be perfect...
Why would they have to be perfect?
Because perfect correlation is r= 1 or r= -1? Is my answer not correct?
The statement "If two variables are very strongly associated, the correlation between them will be near 1.0 or -1.0" is actually true. The correlation coefficient measures the strength and direction of the linear relationship between two quantitative variables. It ranges from -1.0 to 1.0, where a value close to 1.0 or -1.0 indicates a stronger association between the variables.
However, it is important to note that there are exceptions to this rule. Sometimes, even when variables have a strong association, the correlation coefficient may not reach 1.0 or -1.0 due to outliers or nonlinear relationships. Therefore, while a value near 1.0 or -1.0 suggests a strong association, it is not the sole criterion for judging the strength of the relationship.