document.write( "Question 1187210: Q No.6)
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document.write( "Part a)
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document.write( "The following table shows verbal reasoning test score, x, and an English test score, y, for each of a random sample of 8 children who took both tests.
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document.write( "Child A B C D E F G H
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document.write( "x 112 113 110 113 112 114 109 113
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document.write( "y 69 65 75 70 70 75 68 76
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document.write( "Calculate the Co-efficient of correlation “r” between the scores in verbal reasoning and English.\r
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document.write( " Part b)
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document.write( "The age (X) and systolic blood pressure (Y) of 100 individuals gave the following sums:
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document.write( "X i 4421, Yi 12130, X i2 208349, Yi2 1498976, X iYi 542735
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document.write( "Determine the equation of the least squares regression line of Y on X.\r
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document.write( "the missing letter is sumation (E)
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document.write( "
Algebra.Com's Answer #849313 by CPhill(1987) You can put this solution on YOUR website! Part a) Correlation Coefficient (r)\r \n" ); document.write( "\n" ); document.write( "Here's how to calculate the correlation coefficient (r) for the verbal reasoning (x) and English (y) test scores:\r \n" ); document.write( "\n" ); document.write( "Calculate the means of x and y:\r \n" ); document.write( "\n" ); document.write( "Mean of x (x̄) = (112 + 113 + 110 + 113 + 112 + 114 + 109 + 113) / 8 = 111.75 \n" ); document.write( "Mean of y (ȳ) = (69 + 65 + 75 + 70 + 70 + 75 + 68 + 76) / 8 = 71 \n" ); document.write( "Calculate the deviations from the mean for x and y:\r \n" ); document.write( "\n" ); document.write( "For each x value, calculate (x - x̄) \n" ); document.write( "For each y value, calculate (y - ȳ) \n" ); document.write( "Child x y x - x̄ y - ȳ \n" ); document.write( "A 112 69 0.25 -2 \n" ); document.write( "B 113 65 1.25 -6 \n" ); document.write( "C 110 75 -1.75 4 \n" ); document.write( "D 113 70 1.25 -1 \n" ); document.write( "E 112 70 0.25 -1 \n" ); document.write( "F 114 75 2.25 4 \n" ); document.write( "G 109 68 -2.75 -3 \n" ); document.write( "H 113 76 1.25 5\r \n" ); document.write( "\n" ); document.write( "Export to Sheets \n" ); document.write( "Calculate the products of the deviations:\r \n" ); document.write( "\n" ); document.write( "Multiply (x - x̄) and (y - ȳ) for each child.\r \n" ); document.write( "\n" ); document.write( "Child x - x̄ y - ȳ (x - x̄)(y - ȳ) \n" ); document.write( "A 0.25 -2 -0.5 \n" ); document.write( "B 1.25 -6 -7.5 \n" ); document.write( "C -1.75 4 -7 \n" ); document.write( "D 1.25 -1 -1.25 \n" ); document.write( "E 0.25 -1 -0.25 \n" ); document.write( "F 2.25 4 9 \n" ); document.write( "G -2.75 -3 8.25 \n" ); document.write( "H 1.25 5 6.25\r \n" ); document.write( "\n" ); document.write( "Export to Sheets \n" ); document.write( "Calculate the sum of the products of deviations (Σ(x - x̄)(y - ȳ)):\r \n" ); document.write( "\n" ); document.write( "Sum the values in the last column: -0.5 + (-7.5) + (-7) + (-1.25) + (-0.25) + 9 + 8.25 + 6.25 = 7\r \n" ); document.write( "\n" ); document.write( "Calculate the sum of squared deviations for x and y:\r \n" ); document.write( "\n" ); document.write( "Σ(x - x̄)² = (0.25)² + (1.25)² + (-1.75)² + (1.25)² + (0.25)² + (2.25)² + (-2.75)² + (1.25)² = 14.75 \n" ); document.write( "Σ(y - ȳ)² = (-2)² + (-6)² + 4² + (-1)² + (-1)² + 4² + (-3)² + 5² = 96 \n" ); document.write( "Calculate the correlation coefficient (r):\r \n" ); document.write( "\n" ); document.write( "r = Σ(x - x̄)(y - ȳ) / sqrt[Σ(x - x̄)² * Σ(y - ȳ)²] \n" ); document.write( "r = 7 / sqrt(14.75 * 96) \n" ); document.write( "r = 7 / sqrt(1416) \n" ); document.write( "r ≈ 7 / 37.63 \n" ); document.write( "r ≈ 0.186\r \n" ); document.write( "\n" ); document.write( "Part b) Least Squares Regression Line\r \n" ); document.write( "\n" ); document.write( "The equation of the least squares regression line of Y on X is given by:\r \n" ); document.write( "\n" ); document.write( "y = a + bx\r \n" ); document.write( "\n" ); document.write( "where:\r \n" ); document.write( "\n" ); document.write( "b = (ΣXᵢYᵢ - (ΣXᵢ * ΣYᵢ) / n) / (ΣXᵢ² - (ΣXᵢ)² / n) \n" ); document.write( "a = ȳ - b * x̄ \n" ); document.write( "Given:\r \n" ); document.write( "\n" ); document.write( "ΣXᵢ = 4421 \n" ); document.write( "ΣYᵢ = 12130 \n" ); document.write( "ΣXᵢ² = 208349 \n" ); document.write( "ΣYᵢ² = 1498976 \n" ); document.write( "ΣXᵢYᵢ = 542735 \n" ); document.write( "n = 100 \n" ); document.write( "Calculate b: \n" ); document.write( "b = (542735 - (4421 * 12130) / 100) / (208349 - (4421)² / 100) \n" ); document.write( "b = (542735 - 536497.3) / (208349 - 195452.41) \n" ); document.write( "b = 6237.7 / 12896.59 \n" ); document.write( "b ≈ 0.484\r \n" ); document.write( "\n" ); document.write( "Calculate the means of X and Y: \n" ); document.write( "x̄ = ΣXᵢ / n = 4421 / 100 = 44.21 \n" ); document.write( "ȳ = ΣYᵢ / n = 12130 / 100 = 121.3 \n" ); document.write( "Calculate a: \n" ); document.write( "a = ȳ - b * x̄ \n" ); document.write( "a = 121.3 - (0.484 * 44.21) \n" ); document.write( "a = 121.3 - 21.41 \n" ); document.write( "a ≈ 99.89\r \n" ); document.write( "\n" ); document.write( "Therefore, the equation of the least squares regression line of Y on X is:\r \n" ); document.write( "\n" ); document.write( "y = 99.89 + 0.484x \n" ); document.write( " |