Which statement is FALSE about correlation coefficients?

r will be somewhere between - 1 and 1.

If r = 1, that is a strong correlation.

If r = 0, that is a weak correlation.

If r = - 1, that is a weak correlation.

If r = - 1, that is a weak correlation.

Step-by-step explanation:

The correlation coefficient lies between - 1 and 1.

1 means perfect positive correlation, i. e. if X increases, Y increases

0 means the variables are not correlated

-1 means perfect negative correlation, i. e. if X increases, Y decreases. Even if they behave in opposite ways, the variable are still correlated!