Question: please answer analysis 2. thank you. Analysis 2: Using your curvilinear motion data create an appropriate regression equation for s = f(t). Use this equation


Analysis 2: Using your curvilinear motion data create an appropriate regression equation for s = f(t). Use this equation to determine velocity and tangential and normal acceleration at points where you took measurement along your trip. Examine the difference between the collected data and the model. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 velocity vs time curved pace slow fast slow med med slow slow fast fast med med slow slow medium slow slow med fast med slow med timestamp coordinate 1 coordinate 2 0 40.00689 74.16612 9.37 40.00689 74.16619 6.29 40.0069 74.16618 6.12 40.00696 74.16621 7.66 40.00699 74.16619 6.97 40.00702 74.16616 5.91 40.00738 74.16645 12.43 40.00743 74.16647 5.88 40.00702 74.16616 11.97 40.00771 74.16646 5.35 40.00769 74.16647 6.85 40.00787 74.16644 5.54 40.00784 74.16646 6.57 40.00771 74.16647 7.14 40.00769 74.16647 10.47 40.00807 74.16643 7.85 40.00769 74.16647 8.65 40.00779 74.1669 9.33 40.00789 74.16647 12.23 40.00846 74.16636 5.99 40.00846 74.16636 24 25 26 27 28 29 30 31 32 33 134 med slow slow slow fast fast fast slow slow 11.38 10.77 8.23 5.73 8.83 10.13 13.2 11.65 8.76 40.00846 40.00846 40.00846 40.00865 40.00865 40.00865 40.00865 40.00865 40.00865 74.16636 74.16636 74.1658 74.1658 74.1658 74.1658 74.1658 74.1658 74.1658 Analysis 2: Using your curvilinear motion data create an appropriate regression equation for s = f(t). Use this equation to determine velocity and tangential and normal acceleration at points where you took measurement along your trip. Examine the difference between the collected data and the model. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 velocity vs time curved pace slow fast slow med med slow slow fast fast med med slow slow medium slow slow med fast med slow med timestamp coordinate 1 coordinate 2 0 40.00689 74.16612 9.37 40.00689 74.16619 6.29 40.0069 74.16618 6.12 40.00696 74.16621 7.66 40.00699 74.16619 6.97 40.00702 74.16616 5.91 40.00738 74.16645 12.43 40.00743 74.16647 5.88 40.00702 74.16616 11.97 40.00771 74.16646 5.35 40.00769 74.16647 6.85 40.00787 74.16644 5.54 40.00784 74.16646 6.57 40.00771 74.16647 7.14 40.00769 74.16647 10.47 40.00807 74.16643 7.85 40.00769 74.16647 8.65 40.00779 74.1669 9.33 40.00789 74.16647 12.23 40.00846 74.16636 5.99 40.00846 74.16636 24 25 26 27 28 29 30 31 32 33 134 med slow slow slow fast fast fast slow slow 11.38 10.77 8.23 5.73 8.83 10.13 13.2 11.65 8.76 40.00846 40.00846 40.00846 40.00865 40.00865 40.00865 40.00865 40.00865 40.00865 74.16636 74.16636 74.1658 74.1658 74.1658 74.1658 74.1658 74.1658 74.1658
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