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Often we have a set of data from an experiment and we want to fit a straight line (or other curve) to that data. If the system has more equations than unknowns it is called over determined. Then we can solve the equation Ax = b approximately by trying to minimize || Ax - b ||. This approach involves solving a linear system called the normal equation, AtAx = ATb. A experiment was conducted with the following results We would like to determine if x and y have a linear or quadratic relationship. Use the normal equation to fit a straight line y = a0 + a1x to the data. Use the normal equation to fit a parabola y = a0 + a1x + a2x2 to the data. Graph the data using appropriate software and your fitted curves on the same axis. Which do you think fits the data best? Construct or research a mathematical method to determine which line fits best. Describe the method and use it to determine which of the curves gives the best fit.
Full working out and right solutiononly. and will rate you 5 stars
Often we have a set of data from an experiment and we want to fit a straight line (or other curve) to that data. If the system has more equations than unknowns it is called over determined. Then we can solve the equation Ax = b approximately by trying to minimize || Ax - b ||. This approach involves solving a linear system called the normal equation, AtAx = ATb. A experiment was conducted with the following results We would like to determine if x and y have a linear or quadratic relationship. Use the normal equation to fit a straight line y = a0 + a1x to the data. Use the normal equation to fit a parabola y = a0 + a1x + a2x2 to the data. Graph the data using appropriate software and your fitted curves on the same axis. Which do you think fits the data best? Construct or research a mathematical method to determine which line fits best. Describe the method and use it to determine which of the curves gives the best fit.
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Nestor RutherfordLv2
4 Apr 2019