Use singular value decomposition to fit a line to the data set on page 495 of Cheney & Kincaid 6th edition: surface tension vs temperature. T=0, 10, 20, 30, 40, 80, 90, 95 S=68.0, 67.1, 66.4, 65.6, 64.6, 61.8, 61.0, 60.0 Display the singular values of Vandermonte matrix Use Moore-Penrose pseudo inverse to solve for unknown parameters Show the optimum value of the parameters and the minimum sum of squared deviations of the fit from the data points. Plot the fit and data (no error bars) on the same set of axes. Use singular value decomposition to fit a line to the data set on page 495 of Cheney & Kincaid 6th edition: surface tension vs temperature. T=0, 10, 20, 30, 40, 80, 90, 95 S=68.0, 67.1, 66.4, 65.6, 64.6, 61.8, 61.0, 60.0 Display the singular values of Vandermonte matrix Use Moore-Penrose pseudo inverse to solve for unknown parameters Show the optimum value of the parameters and the minimum sum of squared deviations of the fit from the data points. Plot the fit and data (no error bars) on the same set of axes