Use the equations m -n () () - (xk) -nx and 1 b== (yk...
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Use the equations m -n (Σ×κ) (Σγκ) - η Σκυκ (Σxk) ²-nΣx² and 1 b== (yk - mΣxk) with all sums running from k = 1 to k = n, where n is the number of data points, to find the least squares line y = mx + b for the set of data points. Then use the linear equation to predict the value of y that would correspond to x = 6. (0,2), (1,1), (5,-5) The least squares line is (Type an equation. Use integers or fractions for any numbers in the equation.) Use the equations m -n (Σ×κ) (Σγκ) - η Σκυκ (Σxk) ²-nΣx² and 1 b== (yk - mΣxk) with all sums running from k = 1 to k = n, where n is the number of data points, to find the least squares line y = mx + b for the set of data points. Then use the linear equation to predict the value of y that would correspond to x = 6. (0,2), (1,1), (5,-5) The least squares line is (Type an equation. Use integers or fractions for any numbers in the equation.)
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The given data points are 0211 and 55 The number of data points is n3 The sum of the values of x i... View the full answer
Related Book For
Income Tax Fundamentals 2013
ISBN: 9781285586618
31st Edition
Authors: Gerald E. Whittenburg, Martha Altus Buller, Steven L Gill
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