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If the regression equations are 8x – 10y...

If the regression equations are `8x – 10y + 66 = 0` and `40x – 18y = 214`, the mean value of y is…..

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To find the mean value of \( y \) given the regression equations \( 8x - 10y + 66 = 0 \) and \( 40x - 18y = 214 \), we can follow these steps: ### Step 1: Rewrite the regression equations The first regression equation can be rewritten as: \[ 8x - 10y + 66 = 0 \implies 8x - 10y = -66 \] Dividing the entire equation by 2 gives: \[ 4x - 5y = -33 \quad \text{(Equation 1)} \] The second regression equation can be rewritten as: \[ 40x - 18y = 214 \] Dividing the entire equation by 2 gives: \[ 20x - 9y = 107 \quad \text{(Equation 2)} \] ### Step 2: Substitute \( x \) in terms of \( y \) From Equation 1, we can express \( 4x \) in terms of \( y \): \[ 4x = 5y - 33 \] ### Step 3: Substitute into Equation 2 Now substitute \( 4x \) into Equation 2: \[ 20x - 9y = 107 \] Since \( 20x = 5 \times 4x \), we can write: \[ 20x = 5(5y - 33) = 25y - 165 \] Substituting this into Equation 2 gives: \[ 25y - 165 - 9y = 107 \] ### Step 4: Simplify the equation Now simplify the equation: \[ 25y - 9y - 165 = 107 \] \[ 16y - 165 = 107 \] ### Step 5: Solve for \( y \) Now, add 165 to both sides: \[ 16y = 107 + 165 \] \[ 16y = 272 \] Now divide by 16: \[ y = \frac{272}{16} = 17 \] ### Conclusion The mean value of \( y \) is: \[ \boxed{17} \] ---
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