Question:

Given $$ x = 4y + 5, \quad y = Kx + 4, $$ the lines of regression of $ x $ on $ y $ and $ y $ on $ x $ respectively. What is the value of $ K $, if the value of correlation coefficient $ r = 0.5 $?

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Correlation squared equals product of regression coefficients.
Updated On: May 28, 2025
  • \( \frac{1}{8} \)
  • \( \frac{1}{17} \)
  • \( \frac{1}{16} \)
  • \( \frac{1}{15} \)
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The Correct Option is C

Solution and Explanation

Using regression and correlation relations: \[ r^2 = m_1 m_2 \] Where \( m_1 = 4 \), \( m_2 = K \), and \( r = 0.5 \): \[ 0.5^2 = 4 \times K \implies 0.25 = 4 K \implies K = \frac{1}{16} \]
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