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The two lines of regression for a bivari...

The two lines of regression for a bivariate distribution (X,Y) are 3 x + y = 7 and 3x + 5y = 11 . Find the regression coefficient `b_(yx)`

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To find the regression coefficient \( b_{yx} \) from the given lines of regression, we will follow these steps: ### Step 1: Write down the equations of the lines of regression. The two lines of regression given are: 1. \( 3x + y = 7 \) 2. \( 3x + 5y = 11 \) ### Step 2: Rearrange the first equation to express \( y \) in terms of \( x \). From the first equation: \[ y = 7 - 3x \] ### Step 3: Rearrange the second equation to express \( y \) in terms of \( x \). From the second equation: \[ 3x + 5y = 11 \implies 5y = 11 - 3x \implies y = \frac{11 - 3x}{5} \] This can be simplified to: \[ y = -\frac{3}{5}x + \frac{11}{5} \] ### Step 4: Identify the slope of the second regression line. The slope of the line \( y = -\frac{3}{5}x + \frac{11}{5} \) is \( -\frac{3}{5} \). ### Step 5: Determine the regression coefficient \( b_{yx} \). The regression coefficient \( b_{yx} \) is equal to the slope of the regression line of \( y \) on \( x \). Therefore: \[ b_{yx} = -\frac{3}{5} \] ### Final Answer: The regression coefficient \( b_{yx} \) is \( -\frac{3}{5} \). ---
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