Answer:
Correlation can vary from +1 to -1. It also tells how strong the linear association between the two quantities variables.
Those values close to +1 indicate a high-degree of positive correlation, and values close to -1 indicate a high degree of negative correlation.
A positive correlation exists where the high values of one variable are associated with the high values of the other variables.
A negative correlation means association of high values of one with the low values of the others.
and
Correlation can have a value:
+1 = perfect positive correlation
0 = no correlation (the values don't seem linked at all)
-1 = perfect negative correlation
Therefore, the only options are true :
A-The correlation coefficient gives us information as to how strong the linear association is between the two quantities variables.
B -The correlation coefficient has units of measurement and does always lie between -1 and +1.
C - The closer the absolute value r is to 1, the stronger linear relationship between the two variables.