In one study, it was found that the correlation coefficient between two variables is - 0.93.

Which statement is true?

A. There is a weak positive association between the variables.

B. There is a weak negative association between the variables.

C. There is a strong positive association between the variables.

D. There is a strong negative association between the variables.

Question

Zachariah Noble

Mathematics

27 October, 21:06

In one study, it was found that the correlation coefficient between two variables is - 0.93.

Which statement is true?

A. There is a weak positive association between the variables.

B. There is a weak negative association between the variables.

C. There is a strong positive association between the variables.

D. There is a strong negative association between the variables.

+3

Answers (2)

Know the Answer?

Moshe · Answer 1

Answer: D. There is a strong negative association between the variables.

Step-by-step explanation:

We know that when the value of the correlation coefficient lies between - 1 to -.05, then we say there is strong negative correlation between the variables.

OR

When the value of the correlation coefficient lies between 0.5 to 1, then we say there is strong positive correlation between the variables.

Given : In one study, it was found that the correlation coefficient between two variables is - 0.93.

∵ - 1< - 0.93 <-0.5

Then, it indicates that there is a strong negative association between the variables.

Aleah Skinner · Answer 2

the answer is d (i think) because anything aboveboard. 90, whether it is positive or negative