-0.85, and 0.90 indicate a strong relationship between the two variables but not a perfect linear association between the two variables option (A) and (D) are correct.
What is correlation?
It is defined as the relation between two variables which is a quantitative type and gives an idea about the direction of these two variables.
We have a value of correlation coefficients.
We know when the correlation coefficient r is 1 then we can say the relation between two variables is perfect and strong.
When the value of correlation coefficients lies between 0.8 to 1 the relation between two variables is said to be strong.
Similarly when the value of correlation coefficients lies between -0.8 to -1 the relation between two variables is said to be strong.
For the r = -0.85, this indicates a strong relationship but is not perfect.
For the r = -0.10 this indicates a weak relationship but is not perfect.
For the r = 0.15 this indicates a weak relationship but is not perfect.
For the r = 0.90 this indicates a strong relationship but is not perfect.
For the r = 1 this indicates a strong relationship and perfect.
Thus, -0.85, and 0.90 indicate a strong relationship between the two variables but not a perfect linear association between the two variables option (A) and (D) are correct.
Learn more about the correlation here:
brainly.com/question/11705632
