Answer:
r = -0.83
strong negative correlation
r = -0.08
weak negative correlation
r = 0.96
strong positive correlation
r = 0.06
weak positive correlation
Explanation:
In this question, what we are expected to do is to match the values of the correlation given with the type of correlation in which the values are.
When we talk of correlation, we are simply referring to the extent of agreement between the values in the data field.
Correlation has a value between -1 and +1, meaning it could be negative or positive.
Values closer to the extremes i.e (-1 or +1) indicates strong correlation while values farther away, i.e closer to zero indicates a weak relationship.
Let’s answer the questions specifically now:
r = -0.83
This is closer to -1 and it indicates a strong negative correlation
r = -0.08
This indicates a weak negative correlation as it is closer to zero and farther away form -1
r = 0.96
This indicates a strong positive correlation
r = 0.06
This indicates a weak positive correlation