The purpose of correlation analysis is to find how strong the relationship is between two variables.
ii. A correlation coefficient of -1 or + 1 indicates perfect correlation.
iii. The standard error of estimate measures the accuracy of our prediction.
a
(i) and (ii) are correct statements but not (iii).
b
(ii) and (iii) are correct statements but not (i).
c
(i) and (iii) are correct statements but not (ii).
d
(i), (ii), and (iii) are all correct statements.