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Let 8x – 10y + 66 = 0 and 40x –18y = 214 be the lines of regression of Y on X and X on Y respectively. What is the correlation coefficient between X
Question

Let 8x – 10y + 66 = 0 and 40x –18y = 214 be the lines of regression of Y on X and X on Y respectively.
What is the correlation coefficient between X and Y ?

A.

0.5

B.

– 0.5

C.

0.6

D.

– 0.6

Correct option is C

The correct answer is (c).

Introduction 

The correlation coefficient is a statistical measure of the strength of a linear relationship between two variables. In this problem, it is calculated using the geometric mean of the two regression coefficients derived from the given lines of regression.

Since both regression coefficients are positive, the correlation coefficient must also be positive.

Information Booster
  • The line of regression of Y on X allows us to find the regression coefficient byx. b_{yx}.​​
  • From the equation 10y = 8x + 66, we get y = 0.8x + 6.6, making byx=0.8.b_{yx} = 0.8.​​
  • The line of regression of X on Y provides the regression coefficient bxy.b_{xy}.​​
  • From 40x = 18y + 214, we get x = 0.45y + 5.35, making bxy=0.45.b_{xy} = 0.45.​​
  • The correlation coefficient r is given by the formula r=±byx×bxyr = \pm\sqrt{b_{yx} \times b_{xy}}​​
  • Substituting the values: r=0.8×0.45=0.36=0.6r = \sqrt{0.8 \times 0.45} = \sqrt{0.36} = 0.6​.
  • The sign of $r$ is always the same as the signs of the regression coefficients, which are both positive here.
Additional Knowledge
  • Option A (0.5): This is mathematically incorrect and represents a miscalculation of the geometric mean of the regression coefficients.
  • Option B (-0.5): Incorrect because both regression coefficients are positive, so the correlation coefficient cannot be negative.
  • Option D (-0.6): This has the correct magnitude but the wrong sign. The correlation coefficient shares the sign of the regression slopes.

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