=+the substantial linear pattern was used as a basis for an important conclusion about material behavior. This

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=+the substantial linear pattern was used as a basis for an important conclusion about material behavior.

This is the Minitab output from fitting the simple linear regression model to the data.

The regression equation is flux = –0.398 + 0.260 invthick Predictor Coef Stdev t-ratio p Constant –0.3982 0.5051 –0.79 0.460 invthick 0.26042 0.01502 17.34 0.000 s = 0.4506 R-sq = 98.0% R-sq(adj) = 97.7%

Analysis of Variance Source DF SS MS F p Regression 1 61.050 61.050 300.64 0.000 Error 6 1.218 0.203 Total 7 62.269 inv- Stdev. St.
Obs. thick flux Fit Fit Residual Resid 1 19.8 4.3 4.758 0.242 –0.458 –1.20 2 20.6 5.6 4.966 0.233 0.634 1.64 3 23.5 6.1 5.722 0.203 0.378 0.94 4 26.1 6.2 6.399 0.182 –0.199 –0.48 5 30.3 6.9 7.493 0.161 –0.593 –1.41 6 43.5 11.2 10.930 0.236 0.270 0.70 7 45.0 11.3 11.321 0.253 –0.021 –0.06 8 46.5 11.7 11.711 0.271 –0.011 –0.03

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Related Book For  book-img-for-question

Applied Statistics For Engineers And Scientists

ISBN: 9781133111368

3rd Edition

Authors: Jay L. Devore, Nicholas R. Farnum, Jimmy A. Doi

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