Standard Error 669577 Observations 36 ANOVA df SS MS F ignificance F Regression

Standard error 669577 observations 36 anova df ss ms

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Standard Error 6.69577 Observations 36 ANOVA df SS MS F ignificance F Regression 11 8002.222 727.4747 16.2262 1.6E-008 Residual 24 1076 44.83333 Total 35 9078.222 Coefficients andard Erro t Stat P-value Lower 95%Upper 95% Lower 95.0% Intercept 21.66667 3.865805 5.604698 9.1E-006 13.68804 29.6453 13.68804 H1 7.666667 5.467073 1.402335 0.173618 -3.616818 18.95015 -3.616818 H2 11.66667 5.467073 2.133988 0.043264 0.383182 22.95015 0.383182 H3 16.66667 5.467073 3.048554 0.005528 5.383182 27.95015 5.383182 H4 34.33333 5.467073 6.280021 1.7E-006 23.04985 45.61682 23.04985 H5 42.33333 5.467073 7.743327 5.6E-008 31.04985 53.61682 31.04985 H6 45 5.467073 8.231095 1.9E-008 33.71652 56.28348 33.71652 H7 28.33333 5.467073 5.182541 2.6E-005 17.04985 39.61682 17.04985 H8 18.33333 5.467073 3.353409 0.002643 7.049849 29.61682 7.049849 H9 13.33333 5.467073 2.438843 0.022505 2.049849 24.61682 2.049849 H10 3.333333 5.467073 0.609711 0.547783 -7.950151 14.61682 -7.950151 H11 1.666667 5.467073 0.304855 0.763104 -9.616818 12.95015 -9.616818 RESIDUAL OUTPUT Observation dicted Leve Residuals 1 29.33333 -4.333333 2 33.33333 -5.333333 3 38.33333 -3.333333 4 56 -6 5 64 -4 6 66.66667 -6.666667 7 50 -10 8 40 -5 9 35 -5 10 25 -4E-015 11 23.33333 1.666667 12 21.66667 -1.666667
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13 29.33333 -1.333333 14 33.33333 -3.333333 15 38.33333 -3.333333 16 56 -8 17 64 -4 18 66.66667 -1.666667 19 50 -1E-014 20 40 0 21 35 -1E-014 22 25 -4E-015 23 23.33333 -3.333333 24 21.66667 -1.666667 25 29.33333 5.666667 26 33.33333 8.666667 27 38.33333 6.666667 28 56 14 29 64 8 30 66.66667 8.333333 31 50 10 32 40 5 33 35 5 34 25 -4E-015 35 23.33333 1.666667 36 21.66667 3.333333
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Upper 95.0% 29.6453 18.95015 22.95015 27.95015 45.61682 53.61682 56.28348 39.61682 29.61682 24.61682 14.61682 12.95015 0 0.2 0.4 0.6 0.8 1 1.2 -15 -10 -5 0 5 10 15 20 H1 Residual Plot H1 Residuals 0 0.2 0.4 0.6 0.8 1 1.2 -15 -10 -5 0 5 10 15 20 H2 Residual Plot H2 Residuals 0 0.2 0.4 0.6 0.8 1 -15 -10 -5 0 5 10 15 20 H3 Residual Plot H3 Residuals 0 0.2 0.4 0.6 0.8 -15 -10 -5 0 5 10 15 20 H4 Residual Plot H4 Residuals 0 0.2 0.4 0 -15 -10 -5 0 5 10 15 20 H5 Residual H5 Residuals 0 0.2 -15 -10 -5 0 5 10 15 20 H6 Re Residuals 0 -15 -10 -5 0 5 10 15 20 Residuals Resi
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1.2 1 1.2 0.6 0.8 1 1.2 Plot 5 0.4 0.6 0.8 1 1.2 esidual Plot H6 0 0.2 0.4 0.6 0.8 1 1.2 H7 Residual Plot H7 0 0.2 0.4 0.6 0.8 1 1.2 -15 -10 -5 0 5 10 15 20 H8 Residual Plot H8 iduals 0 0.2 0.4 0.6 0.8 1 1.2 -15 -10 -5 0 5 10 15 20 H9 Residual Plot H9 Residuals 0 0.2 0.4 0.6 0.8 1 1.2 -15 -10 -5 0 5 10 15 20 H10 Residual Plot H10 Residuals 0 0.2 0.4 0.6 0.8 1 1.2 -15 -10 -5 0 5 10 15 20 H11 Residual Plot H11 Residuals
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SUMMARY OUTPUT Regression Statistics Multiple R 0.976904 R Square 0.954341 Adjusted R Square 0.930519 Standard Error 4.245202 Observations 36 ANOVA df SS MS F ignificance F Regression 12 8663.722 721.9769 40.06144 1.6E-012 Residual 23 414.5 18.02174 Total 35 9078.222 Coefficients andard Err t Stat P-value Lower 95%Upper 95% Lower 95.0% Intercept 11.16667 3.001811 3.719977 0.001125 4.956947 17.37639 4.956947 H1 12.47917 3.556046 3.509282 0.001885 5.122925 19.83541 5.122925 H2 16.04167 3.540615 4.530757 0.00015 8.717346 23.36599 8.717346 H3 20.60417 3.526596 5.842509 5.9E-006 13.30885 27.89949 13.30885 H4 37.83333 3.514005 10.76644 1.9E-010 30.56406 45.10261 30.56406 H5 45.39583 3.502857 12.95966 4.7E-012 38.14962 52.64205 38.14962 H6 47.625 3.493168 13.63376 1.7E-012 40.39883 54.85117 40.39883 H7 30.52083 3.484947 8.757904 8.8E-009 23.31167 37.73 23.31167
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