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Answer :
Word Count : 486
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Skip in 10
Alright, let's go step-by-step. --- ## 1. Understanding the least squares method The method of least squares for fitting \( Y = a + bX \) minimizes the sum of squared errors: \[ S = \sum_{i=1}^{n} (Y_i - (a + b X_i))^2 \] Differentiate \( S \) w.r.t \( a \) and \( b \), set to zero: We get normal equations: \[ \sum Y = na + b \sum X \] \[ \sum XY = a \sum X + b \sum X^2 \] Solve these to find \( a \) and \( b \). --- ## 2. Given data \( X: 1, 3, 5, 7, 9, 10 \) \( Y: 5, 8, 12, 15, 18, 22 \) Number of points \( n = 6 \). --- ## 3. Compute sums \[ \sum X = 1 + 3 + 5 + 7 + 9 + 10 = 35 \] \[ \sum Y = 5 + 8 + 12 + 15 + 18 + 22 = 80 \] \[ \sum XY = (1\cdot 5) + (3\cdot 8) + (5\cdot 12) + (7\cdot 15) + (9\cdot 18) + (10\cdot 22) \] \[
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