i. Correlation analysis is a group of statistical techniques used to measure the strength of the relationship (correlation) between two variables. ii. A correlation coefficient of -1 or +1 indicates perfect correlation.
iii. The strength of the correlation between two variables depends on the sign of the coefficient of correlation.
A) (i), (ii), and (iii) are all correct statements.
B) (i) and (ii) are correct statements but not (iii).
C) (i) and (iii) are correct statements but not (ii).
D) (ii) and (iii) are correct statements but not (i).
E) (i), (ii), and (iii) are all false statements.

Question

Quizplus · Accepted Answer

- Statement (i) is correct as correlation analysis indeed measures the strength of the relationship between two variables.- Statement (ii) is correct because a correlation coefficient of -1 indicates a perfect negative correlation, while +1 indicates a perfect positive correlation.- Statement (iii) is incorrect because the strength of the correlation is determined by the absolute value of the coefficient, not the sign. The sign indicates the direction of the relationship (positive or negative), not the strength.

I Correlation Analysis Is a Group of Statistical Techniques Used