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If the two lines of regression are 3x+2y...

If the two lines of regression are `3x+2y=26 and 6x+y=31`, then the coefficient of correlation between x and y is ……………..

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To find the coefficient of correlation between x and y given the two lines of regression \(3x + 2y = 26\) and \(6x + y = 31\), we will follow these steps: ### Step 1: Convert the regression equations into slope-intercept form 1. **First Equation:** \(3x + 2y = 26\) - Rearranging gives: \[ 2y = -3x + 26 \] - Dividing by 2: \[ y = -\frac{3}{2}x + 13 \] - Here, the slope \(b_{xy} = -\frac{3}{2}\). 2. **Second Equation:** \(6x + y = 31\) - Rearranging gives: \[ y = -6x + 31 \] - Here, the slope \(b_{yx} = -6\). ### Step 2: Find the product of the slopes Now, we need to find the product of the slopes \(b_{xy}\) and \(b_{yx}\): \[ b_{xy} = -\frac{3}{2}, \quad b_{yx} = -6 \] Calculating the product: \[ b_{xy} \cdot b_{yx} = \left(-\frac{3}{2}\right) \cdot (-6) = \frac{3 \cdot 6}{2} = \frac{18}{2} = 9 \] ### Step 3: Calculate the coefficient of correlation The coefficient of correlation \(r\) is given by: \[ r = \sqrt{b_{xy} \cdot b_{yx}} \] Substituting the product we found: \[ r = \sqrt{9} = 3 \] ### Conclusion Thus, the coefficient of correlation between x and y is: \[ \boxed{3} \]
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