Lab 8 - Question 1 Bivariate Fit of Young's Modulus By...

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Unformatted text preview: Question 1 Bivariate Fit of Young's Modulus By Temperature 50 100 150 200 250 300 350 Young's Modulus 400 500 600 700 800 900 1000 1100 Temperature Linear Fit Linear Fit Young's Modulus = 617.53996 - 0.6006308*Temperature Summary of Fit RSquare 0.981208 RSquare Adj 0.980354 Root Mean Square Error 11.79791 Mean of Response 166.9167 Observations (or Sum Wgts) 24 Lack Of Fit Source DF Sum of Squares Mean Square F Ratio Lack Of Fit 10 2589.1969 258.920 6.5688 Pure Error 12 473.0000 39.417 Prob > F Total Error 22 3062.1969 0.0016 Max RSq 0.9971 Analysis of Variance Source DF Sum of Squares Mean Square F Ratio Model 1 159893.64 159894 1148.737 Error 22 3062.20 139 Prob > F C. Total 23 162955.83 <.0001 Parameter Estimates Term Estimate Std Error t Ratio Prob>|t| Intercept 617.53996 13.5118 45.70 <.0001 Temperature-0.600631 0.017721-33.89 <.0001 Bivariate Fit of Residuals Young's Modulus By Temperature-20-15-10-5 5 10 15 20 25 Residuals Young's Modulus 400 500 600 700 800 900 1000 1100 Temperature...
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This note was uploaded on 01/23/2010 for the course STAT 213 taught by Professor Hao during the Spring '10 term at Internet2.

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Lab 8 - Question 1 Bivariate Fit of Young's Modulus By...

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