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Find the most likely price in Mumbai (x)...

Find the most likely price in Mumbai (x) corresponding to the price of ₹ 70 at Kolkata (y) from the following data :
`{:(,"Mumbai", "Kolkata"),("Average price "," "67," "65),("Standard deviation "," "3 . 5 ," "2 . 5 ):}`
Correlation of coefficient = 0 . 5

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To find the most likely price in Mumbai (x) corresponding to the price of ₹ 70 at Kolkata (y), we will use the regression line formula based on the provided data. ### Given Data: - Average price in Mumbai (x̄) = 67 - Average price in Kolkata (ȳ) = 65 - Standard deviation in Mumbai (σx) = 3.5 - Standard deviation in Kolkata (σy) = 2.5 - Correlation coefficient (p) = 0.5 - Price in Kolkata (y) = 70 ### Step-by-Step Solution: 1. **Write the Regression Equation**: The regression line of y on x is given by: \[ y - ȳ = p \cdot \frac{σy}{σx} (x - x̄) \] Substituting the known values: \[ y - 65 = 0.5 \cdot \frac{2.5}{3.5} (x - 67) \] 2. **Calculate the Coefficient**: Calculate \( \frac{σy}{σx} \): \[ \frac{σy}{σx} = \frac{2.5}{3.5} \approx 0.7143 \] Now substitute this back into the regression equation: \[ y - 65 = 0.5 \cdot 0.7143 (x - 67) \] Simplifying further: \[ y - 65 = 0.3571 (x - 67) \] 3. **Substitute y = 70**: Now, we substitute \( y = 70 \): \[ 70 - 65 = 0.3571 (x - 67) \] This simplifies to: \[ 5 = 0.3571 (x - 67) \] 4. **Solve for x**: Divide both sides by 0.3571: \[ x - 67 = \frac{5}{0.3571} \] Calculate \( \frac{5}{0.3571} \): \[ x - 67 \approx 14 \] Therefore: \[ x \approx 67 + 14 = 81 \] 5. **Final Result**: The most likely price in Mumbai corresponding to the price of ₹ 70 at Kolkata is approximately ₹ 81.
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