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Unformatted text preview: Problem Instructions and changes in problems 13.5 To solve the overdetermined linear system Ax = b for the unknown coefficients in the x vector, use x=(Z T Z)1 Z T b 13.7 To linearize, divide by x and take the natural logarithm. Then a_0 = ln(alpha_4) and alpha_4 = exp(a_0). To solve the overdetermined linear system for the unknown coefficients,use the Matlab backslash (\) operator (it is described in Chapter 8). Unless stated otherwise,use the backslash operator where appropriate for all remaining problems as well. 13.11 13.18 Take log 10 of the data before fitting. Find 2 and 2 in = 2 T 2 . Calculate r 2 using the untransformed data. 14.3 14.5 Use the builtin Matlab command polyfit to determine the unknown coefficients. Determine the correct degree polynomial fit on your own by trying polynomials of successively higher degree and stopping when the criterion stated in the problem is met....
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 Spring '09
 RAPHAELHAFTKA
 Regression Analysis, linear regression fit, nonlinear model fit

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