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Two regression lines are represented by ...

Two regression lines are represented by `2x+3y -10=0` and `4x + y-5=0`
Find the line of regression of y on x.

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To find the line of regression of \( y \) on \( x \) given the two regression lines \( 2x + 3y - 10 = 0 \) and \( 4x + y - 5 = 0 \), we will follow these steps: ### Step 1: Rewrite the equations of the regression lines We have: 1. \( 2x + 3y - 10 = 0 \) 2. \( 4x + y - 5 = 0 \) ### Step 2: Express \( y \) in terms of \( x \) from the first line From the first line: \[ 3y = -2x + 10 \] Dividing by 3: \[ y = -\frac{2}{3}x + \frac{10}{3} \] ### Step 3: Express \( x \) in terms of \( y \) from the second line From the second line: \[ 4x = -y + 5 \] Dividing by 4: \[ x = -\frac{1}{4}y + \frac{5}{4} \] ### Step 4: Identify the coefficients \( b_{yx} \) and \( b_{xy} \) From the equations derived: - The slope of the regression line of \( y \) on \( x \) (denoted as \( b_{yx} \)) is \( -\frac{2}{3} \). - The slope of the regression line of \( x \) on \( y \) (denoted as \( b_{xy} \)) is \( -\frac{1}{4} \). ### Step 5: Calculate the product of the slopes Now, we calculate the product of the slopes: \[ b_{yx} \cdot b_{xy} = \left(-\frac{2}{3}\right) \cdot \left(-\frac{1}{4}\right) = \frac{2}{12} = \frac{1}{6} \] ### Step 6: Verify the condition Since \( \frac{1}{6} < 1 \), our assumption about the regression lines is correct. ### Step 7: Write the line of regression of \( y \) on \( x \) Thus, the line of regression of \( y \) on \( x \) is: \[ 2x + 3y - 10 = 0 \] ### Final Answer The line of regression of \( y \) on \( x \) is \( 2x + 3y - 10 = 0 \). ---
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