MODEL 1
MODEL 2
Residual Plots for Tensile Strength Normal Probability Plot Versus Fits 99 20 90 Percent 50 Residual 10 -10 -15 -10 10 55 50 Residual 45 50 Fitted Value Histogram Versus Order 48 Frequency Residual 24 -10 -15 19 00 -15 -10 2 10 12 14 16 18 20 22 24 Observation Order Residual
ssion Analysis: Tensile Strength versus vood Content engl... Regression Analysis: Tensile Strength versus Hardwood Content sile... Regression Equation Tensile Strength = 35.26 + 1.584 Hardwood Content Coefficients Term Constant Hardwood Content Coef SE Coef T-Value P-Value VIF 35.26 2.39 14.74 0.000 1.584 0.270 5.86 0.000 1.00 Model Summary S R-sq R-sq(adj) R-sq(pred) 5.95846 60.98% 59.21% 50.04% Analysis of Variance Source DF Seq SS Seq MS F-Value P-Value Regression 1 1220.9 1220.89 34.39 0.000 Hardwood Content 1 1220.9 1220.89 34.39 0.000 Error 22 781.1 35.50 Total 23 2002.0
Residual Plots for Tensile Strength Normal Probability Plot Versus Fits Percent Residual 50 10 5 50 20 10 30 Fitted Value Residual Histogram Versus Order Frequency Residual M 6. - 02 Residual 2 4 6 10 12 14 16 18 20 22 24 Observation Order
tof Works Regression Analysis: Tensile Strength versus x* of Tensile Strengt... Analysis: Tensile ... For Tensile Strength of Tensile Strengt... Regression Equation Tensile Strength 55.70 - 36.68 X" Analysis: Tensile ... VIF Coefficients Term Coef SE Coef T-Value P-value Constant 55.70 1.35 41.32 0.000 X -36.68 4.27 -8.59 0.000 1.00 Model Summary R-sq R-sq(adj) R-sq(pred) 4.57031 77.05% 76.00% 61.83% Analysis of Variance Source DF Seq SS Seq MS F-Value P-Value Regression 1 1542.4 1542.43 73.84 0.000 1 1542.4 1542.43 73.84 0.000 Error 22 459.5 20.89 Total 23 2002.0
MODEL 1 MODEL 2
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answerhappygod
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MODEL 1 MODEL 2
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