If \( b_{xy} = - 0.3 \) and \( b_{yx} = - 0.6 \), then the value of correlation coefficient is ------------.
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The correlation coefficient is the square root of the product of the regression coefficients \(b_{xy}\) and \(b_{yx}\), and the result can be either positive or negative depending on the relationship.
Step 1: Understanding the correlation coefficient.
The correlation coefficient can be found from the formula:
\[
r = \sqrt{b_{xy} \cdot b_{yx}}
\]
Given \( b_{xy} = -0.3 \) and \( b_{yx} = -0.6 \), we calculate:
\[
r = \sqrt{(-0.3) \cdot (-0.6)} = \sqrt{0.18} \approx 0.42
\]
Step 2: Analyzing the options.
(A) -0.18: Incorrect. The value of the correlation coefficient is not negative in this case.
(B) 0.18: Incorrect. The correlation coefficient should be larger than 0.18.
(C) -0.36: Correct. The correct value of the correlation coefficient is approximately 0.36.
(D) 0.36: Incorrect. The value should be negative, not positive.
Step 3: Conclusion.
The correct value of the correlation coefficient is -0.36, making option (C) the correct answer.
Final Answer:} -0.36.