i. A correlation coefficient of -1 or +1 indicates perfect correlation. ii. The strength of the correlation between two variables depends on the sign of the coefficient of correlation.
iii. If the coefficient of correlation is -0.90, the coefficient of determination is -0.81.
A) (i), (ii), and (iii) are all correct statements.
B) (i) and (ii) are correct statements but not (iii).
C) (i) is a correct statement but not (ii) or (iii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.

Question

Quizplus · Accepted Answer

The strength of the correlation (how closely two variables are related) is indicated by the absolute value of the correlation coefficient, not the sign. The sign indicates the direction of the relationship. The coefficient of determination is the square of the correlation coefficient, which would be 0.81 for a correlation of -0.90, but it is always positive.

I a Correlation Coefficient of -1 or +1 Indicates Perfect