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Unformatted text preview: IEE 380 Summer 2009 Name: _____________________________ Quiz #13A Question 1 . A quality assurance engineer would like to fit a multiple regression model to the following data. The bearing wear is the dependent variable is and the independent variables are oil viscosity and load What follows is a partial Excel output from the engineer’s analysis. Show the hypothesis test on the regression coefficient for load. Base upon the output (pvalue), what is your conclusion? Explain why by citing the pvalue. ANOVA df SS MS F Significance F Regression 2 10477.9338 7 5238.966 9 4.324880 2 0.130679176 Residual 3 3634.06612 8 1211.355 4 Total 5 14112 Coefficients Standard Error t Stat Pvalue Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 316.1591162 70.4248296 9 4.489313 2 0.020621 8 92.03587713 540.282355 2 92.035877 1 540.2823 6 Viscosity2.962208039 1.70625499 3 1.736087 5 0.180958.392272936 2.46785685 8 8.3922729 4 2.467856 9 Load0.067201347 0.08749428 2 0.768065 6 0.498368 80.345647201 0.21124450 7 0.3456472 0.211244 5 Question 2. An individual linear accelerator has a probability of failure of .15 and a probability of working of .85. Five of these accelerators are produced. What is the probability that more than three of them fail? Show your answer in term form to save time, but show all numeric values in the term(s). x x x x X P = ∑ = 5 5 4 85 . 15 ....
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This note was uploaded on 12/11/2009 for the course CSE IEE taught by Professor Chattin during the Summer '09 term at ASU.
 Summer '09
 chattin

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