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LAB1 - Run#1 M slider(g m weight(g 201.2 3.6 0.06 0.06 0.06...

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Run #1 M slider (g) m weight(g) 201.2 3.6 0.06 0.03 0.24 0.14 0 0.17 0.06 0.09 0.25 0.06 0.15 0.25 0.06 0.21 0.26 0.06 0.27 0.27 0.05 0.32 0.28 0.05 0.38 0.29 0.05 0.43 0.29 0.05 0.48 0.3 0.05 0.53 0.31 0.05 0.57 0.32 0.05 0.62 0.33 0.05 0.67 0.33 0.04 0.71 0.34 0.04 0.76 0.34 0.04 0.8 0.35 0.04 0.84 0.35 0.04 0.89 0.36 0.04 0.93 0.37 0.04 0.97 0.37 0.04 1.01 0.38 0.04 1.05 0.38 0.04 1.09 0.39 0.04 1.12 0.4 0.04 1.16 0.4 0.04 1.2 0.41 0.04 1.23 0.41 0.04 1.27 0.42 0.04 1.31 0.42 0.04 1.34 0.43 0.03 1.38 0.43 0.03 1.41 0.44 0.03 1.45 0.44 0.03 1.48 0.45 0.03 1.51 0.45 0.03 1.55 0.45 0.03 1.58 0.46 0.03 1.61 0.46 0.03 1.64 0.47 0.03 1.67 0.47 0.03 1.71 0.48 0.03 1.74 0.49 0.03 1.77 0.49 0.03 1.8 0.5 0.03 1.83 0.5 0.03 1.86 0.5 0.03 1.89 0.51 0.03 1.92 0.51 0.03 1.95 0.52 0.03 1.98 0.52 0.03 2.01 0.52 0.03 2.03 0.52 0.03 2.06 0.53 0.03 2.09 0.53 0.03 2.12 0.54 0.03 2.15 0.54 0.03 2.17 0.55 0.03 2.2 0.55 0.03 2.23 0.56 0.03 2.26 0.55 0.03 2.28 0.56 0.03 2.31 0.56 0 0.5 1 1.5 2 0 0.1 0.2 0.3 0.4 0.5 0.6 f(x) = 0.14x + 0.23 Velocity vs. Time (Run #1) Time (s) Velocity (m/s)
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0.02 2 2.5
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SUMMARY OUTPUT Regression Statistics Multiple R 1 R Square 1 Adjusted R Square 1 Standard Error 0 Observations 62 ANOVA df SS MS F Significance F Regression 1 0.54 0.54 185046.73 0 Residual 60 0 0 Total 61 0.54 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Intercept 0.23 0 471.86 0 0.23 0.23 0.23 X Variable 1 0.14 0 430.17 0 0.14 0.14 0.14 RESIDUAL OUTPUT Observation Predicted Y Residuals 39 0.47 0 1 0.24 0 40 0.47 0 2 0.25 0 41 0.48 0 3 0.26 0 42 0.48 0.01 4 0.26 0 43 0.49 0 5 0.27 0 44 0.49 0 6 0.28 0 45 0.5 0 7 0.29 0 46 0.5 0 8 0.29 0 47 0.51 0 9 0.3 0 48 0.51 0 10 0.31 0 49 0.51 0 11 0.32 0 50 0.52 0 12 0.32 0 51 0.52 0 13 0.33 0 52 0.53 0 14 0.34 0 53 0.53 0 15 0.34 0 54 0.53 0 16 0.35 0 55 0.54 0 17 0.35 0 56 0.54 0 18 0.36 0 57 0.55 0 19 0.37 0 58 0.55 0 20 0.37 0 59 0.55 0 21 0.38 0 60 0.56 0 22 0.38 0 61 0.56 0 23 0.39 0 62 0.57 0 24 0.39 0 25 0.4 0 26 0.41 0 27 0.41 0 28 0.42 0 29 0.42 0 30 0.43 0 31 0.43 0 32 0.44 0 33 0.44 0 34 0.45 0 35 0.45 0 36 0.46 0 0 0.5 1 1.5 2 2.5 0 0.2 0.4 0.6 X Variable 1 Line Fit  Plot Column C Column B X Variable 1 Y
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37 0.46 0 38 0.47 0
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Upper 95.0% 0.23 0.14
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Run #2 M slider (g) m weight(g) 201.2 5.0 0.17 0.09 0.09 0.22 0 0.24 0.13 0.24 0.12 0.1 0.35 0.15 0.09 0.45 0.17 0.08 0.53 0.19 0.07 0.61 0.2 0.07 0.68 0.22 0.06 0.75 0.23 0.06 0.81 0.25 0.06 0.87 0.26 0.05 0.92 0.27 0.05 0.98 0.29 0.05 1.03 0.3 0.05 1.08 0.31 0.05 1.13 0.32 0.05 1.17 0.33 0.04 1.22 0.34 0.04 1.26 0.35 0.04 1.3 0.36 0.04 1.35 0.37 0.04 1.39 0.38 0.04 1.43 0.38 0.04 1.46 0.39 0.04 1.5 0.4 0.04 1.54 0.41 0.04 1.58 0.42 0.04 1.61 0.42 0.03 1.65 0.43 0.03 1.68 0.44 0.03 1.71 0.45 0.03 1.75 0.46 0.03 1.78 0.46 0.03 1.81 0.47 0.03 1.84 0.48 0.03 1.88 0.48 0.03 1.91 0.49 0.03 1.94 0.5 0.03 1.97 0.5 0.03 2 0.51 0.03 2.03 0.52 0.03 2.05 0.52 0.03 2.08 0.53 0.03 2.11 0.53 0.03 2.14 0.54 0.03 2.17 0.55 0.03 2.19 0.55 0.03 2.22 0.56 0.03 2.25 0.56 0.03 2.27 0.57 0.03 2.3 0.57 0.03 2.33 0.58 0.03 2.35 0.59 0.03 2.38 0.59 0.03 2.4 0.6 0.02 2.43 0.6 0.02 2.45 0.61 0.02 2.48 0.61 0.02 2.5 0.62 0.02 2.53 0.62 0.02 2.55 0.63 0.02 2.57 0.63 0.02 2.6 0.64 0.02 2.62 0.64 0.02 2.64 0.65 0.02 2.67 0.65 0.02 2.69 0.66 0.02 2.71 0.67 0.02 2.73 0.67 0.02 2.76 0.67 0.02 2.78 0.68 0 0.5 1 1.5 2 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 f(x) = 0.22x + 0.07 Velocity vs. Time (Run #2) Time (s) Velocity (m/s)
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0.02 2.8 0.68
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0.02 2.5 3
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SUMMARY OUTPUT Regression Statistics Multiple R 1 R Square
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