Which statement is true?

A strong association implies a positive correlation.

A positive correlation implies a strong association.

O A positive correlation implies a positive slope.

A negative correlation implies a weak association.

The direction of a correlation is either positive or negative. In a negative correlation, the variables move in inverse, or opposite, directions. In other words, as one variable increases, the other variable decreases ... When two variables have a positive correlation, it means the variables move in the same direction.

A positive correlation implies a positive slope.