Consider the following table of measured data pairs for a physical process t /6 /4 /2...

  

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Consider the following table of measured data pairs for a physical process t /6 /4 /2 3/4 P 1/2 3/4 3/2 1 The process can be described using the following model with all arguments in radians p(t) a sin t B+sin t (1) By hand, determine the analytically exact values for a and that best fit the data, realizing that first substituting sin t will generate a non-linear form that can be fit using linear least squares regression T= Consider the following table of measured data pairs for a physical process t /6 /4 /2 3/4 P 1/2 3/4 3/2 1 The process can be described using the following model with all arguments in radians p(t) a sin t B+sin t (1) By hand, determine the analytically exact values for a and that best fit the data, realizing that first substituting sin t will generate a non-linear form that can be fit using linear least squares regression T=

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To fit the data to the model pt a sin t sin2t we first substitu... View the full answer