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If n = 5,sumx = sumy = 20, sumx^2 = sumy...

If `n = 5,sumx = sumy = 20, sumx^2 = sumy^2 = 90 , sumxy = 76`
Find the regression equation of x on y.

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To find the regression equation of \(x\) on \(y\), we need to follow these steps: ### Step 1: Identify the given values We have the following values: - \( n = 5 \) - \( \sum x = 20 \) - \( \sum y = 20 \) - \( \sum x^2 = 90 \) - \( \sum y^2 = 90 \) - \( \sum xy = 76 \) ### Step 2: Calculate the regression coefficient \(b_{xy}\) The formula for the regression coefficient \(b_{xy}\) of \(x\) on \(y\) is given by: \[ b_{xy} = \frac{n \sum xy - \sum x \sum y}{n \sum x^2 - (\sum x)^2} \] Substituting the values into the formula: \[ b_{xy} = \frac{5 \cdot 76 - 20 \cdot 20}{5 \cdot 90 - (20)^2} \] Calculating the numerator: \[ 5 \cdot 76 = 380 \] \[ 20 \cdot 20 = 400 \] \[ \text{Numerator} = 380 - 400 = -20 \] Calculating the denominator: \[ 5 \cdot 90 = 450 \] \[ (20)^2 = 400 \] \[ \text{Denominator} = 450 - 400 = 50 \] Now substituting back into the equation: \[ b_{xy} = \frac{-20}{50} = -\frac{2}{5} \] ### Step 3: Calculate the means \( \bar{x} \) and \( \bar{y} \) The mean of \(x\) and \(y\) is calculated as follows: \[ \bar{x} = \frac{\sum x}{n} = \frac{20}{5} = 4 \] \[ \bar{y} = \frac{\sum y}{n} = \frac{20}{5} = 4 \] ### Step 4: Write the regression equation of \(x\) on \(y\) The regression equation of \(x\) on \(y\) is given by: \[ x - \bar{x} = b_{xy} (y - \bar{y}) \] Substituting the values we found: \[ x - 4 = -\frac{2}{5} (y - 4) \] ### Step 5: Rearranging the equation To rearrange this equation, we can multiply both sides by 5: \[ 5(x - 4) = -2(y - 4) \] Expanding both sides: \[ 5x - 20 = -2y + 8 \] Rearranging gives us: \[ 5x + 2y = 28 \] ### Final Result Thus, the regression equation of \(x\) on \(y\) is: \[ 5x + 2y = 28 \] ---
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