If the correlation between two variables is strongly negative,which of these is true?
A)We could use measurements of one of them to help predict the other.
B)The two variables are unrelated.
C)One of the variables has much smaller values than the other.
D)The relationship between the two variables has been growing weaker over time.

Question

If the correlation between two variables is strongly negative,which of these is true?​
A)We could use measurements of one of them to help predict the other.
B)​The two variables are unrelated.
C)​One of the variables has much smaller values than the other.
D)​The relationship between the two variables has been growing weaker over time.

Quizplus · Accepted Answer

A strong negative correlation indicates that as the value of one variable increases, the value of the other variable decreases. Thus, knowing the value of one variable can help predict the value of the other. For example, if there is a strong negative correlation between the temperature outside and the amount of snow on the ground, knowing the temperature can help predict how much snow will be on the ground.

If the Correlation Between Two Variables Is Strongly Negative,which of These