Concept:
Pearson's correlation coefficient \(r\) measures the strength and direction of linear association between two variables.
\[
r=\frac{\text{Cov}(X,Y)}{\sigma_X \sigma_Y}
\]
Important properties:
• Interchanging \(X\) and \(Y\) does not change \(r\).
• Adding a constant does not change \(r\).
• Multiplying by a positive constant does not change \(r\).
• Multiplying by a negative constant changes only the sign of \(r\).
Step 1: Examine Statement (i).
\[
r(X,Y)=r(Y,X)
\]
Hence Statement (i) is correct.
Step 2: Examine Statement (ii).
If
\[
X'=X+9
\]
then correlation remains unchanged.
Hence Statement (ii) is correct.
Step 3: Examine Statement (iii).
If
\[
X'=kX,\quad k>0
\]
correlation coefficient remains unchanged.
Hence Statement (iii) is correct.
Step 4: Examine Statement (iv).
If
\[
X'=-X
\]
then
\[
r(X',Y)=-r(X,Y)
\]
The sign changes.
Therefore Statement (iv) is not correct.
Step 5: Choose the answer.
Correct statements are:
\[
(i),\ (ii),\ (iii)
\]
Hence,
\[
\boxed{\text{Option (C)}}
\]