5.8 An engineer suspects that the surface finish of a metal part is influenced by the feed rate andthe depth of cut. He selects three feed rates and four depths of cut. He then conducts a factorialexperiment and obtains the following data:Depth of Cut (in)Feed Rate (in/min)0.150.180.200.25747982990.20646888104607392969298991040.258610410811088889599991041081140.3098991101111029599107(a) Analyze the data and draw conclusions. Use a = 0.05.(c) Obtain point estimates of the mean surface finish at each feed rate.(d) Find the P-values for the tests in part (a).

Answered: Image /qna-images/answer/3abaf774-5955-48f4-baff-af9612afccca.jpg

Answered: 5.8 An engineer suspects that the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A researcher studying koi fish collected data on three variables, A, B, and C. The following residual plots show the residual for a model for predicting each variable from the age of the fish. VARIABLE A 0.6T 0.4+ 0.2+ 0.0 -0.2 -0.4+ -0.6+ + + 4 2 6 Age (years) VARIABLE B 0.6T 0.4+ 0.2+ 0.0- -0.2+ -0.4+ -0.6- + 1 + 3 4 Age (years) VARIABLE C 0.6T 0.4 Residuals Residuals -LO
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.7 8.5 6.8 3.8 2.4 2.6 2.6 0.8 yy 13.7 11.1 9.9 7.6 5.8 5.9 5.9 4.8 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.84x+3.96.y=0.84x+3.96. Use this equation to answer the following;A) How many murders per 100,000 residents can be expected in a state with 2.9 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 3 thousand automatic weapons?Answer = Round to 3 decimal places.
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1 a 1 b 1 c
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.8 8.6 7.1 3.9 2.5 2.6 2.4 0.4 yy 14.3 11.5 9.8 7.6 6.2 6.5 6.4 4.1 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.86x+4.07.y=0.86x+4.07. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator.A) How many murders per 100,000 residents can be expected in a state with 3 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 4.1 thousand automatic weapons?Answer = Round to 3 decimal places.
For the past decade, rubber powder has been used in asphalt cement to improve performance. An article includes a regression of y = axial strength (MPa) on x = cube strength (MPa) based on the following sample data: X 112.3 97.0 92.7 86.0 102.0 99.2 95.8 103.5 89.0 86.7 y 74.5 71.1 58.2 48.8 74.2 73.3 68.4 59.5 58.0 48.4 USE SALT (a) Obtain the equation of the least squares line. (Round all numerical values to four decimal places.) y = -30.0452 +.9696 X Check the degree of your polynomial. Interpret the slope. A one MPa increase in cube strength is associated with an increase in the predicted axial strength equal to the slope. O A one MPa decrease in axial strength is associated with an increase in the predicted cube strength equal to the slope. O A one MPa increase in axial strength is associated with an increase in the predicted cube strength equal to the slope. A one MPa decrease in cube strength is associated with an increase in the predicted axial strength equal to the slope. (b)…
For the past decade, rubber powder has been used in asphalt cement to improve performance. An article includes a regression of y = axial strength (MPa) on x = cube strength (MPa) based on the following sample data: x 112.3 97.0 92.7 86.0 102.0 99.2 95.8 103.5 89.0 86.7 y 75.4 71.3 58.1 48.5 74.1 73.7 67.7 59.5 58.0 48.6 (a) Obtain the equation of the least squares line. (Round all numerical values to four decimal places.)y = Interpret the slope. A one MPa increase in axial strength is associated with an increase in the predicted cube strength equal to the slope.A one MPa decrease in cube strength is associated with an increase in the predicted axial strength equal to the slope. A one MPa increase in cube strength is associated with an increase in the predicted axial strength equal to the slope.A one MPa decrease in axial strength is associated with an increase in the predicted cube strength equal to the slope. (b) Calculate the coefficient of determination.…
The heights (in metres) of the winners and runners-up in elections to a particular post were recorded. Winner 1.78 1.87 1.87 1.90 1.91 1.91 1.82 1.82 Runner-up 1.85 1.78 1.79 1.74 1.90 1.90 1.87 1.95 (a) Plot a scatter graph of these data. (b) The following output was obtained from an analysis carried out in R: > winner runnerup cor.test(winner, runnerup) Pearson's product-moment correlation data: winner and runnerup t = -0.56964, df = 6, p-value = 0.5896 alternative hypothesis: true correlation is not equal to 0 95 percent confidence interval: -0.8030109 0.5689796 sample estimates: cor -0.2265121 (i) Explain clearly which analysis is being carried out. (ii) What can you conclude from the p-value? (iii) Interpret the confidence interval.
For steady-state water flow in a circular pipe made of concrete The following data have been collected: PIPE DIAMETER 0.3 EXPERIMENT SLOPE m/s VOLUMETRIC 1 0.001 0.04 2 0,6 0,.001 0,24 0.9 0,001 0,69 4 0.3 0,01 0,13 0.6 0,01 0.82 6. 0,9 0,01 2,38 7 0,3 0.05 0,31 8. 0.6 0.05 1.95 0,9 0.05 5.66 Determine the parameters (a0, a1 and a2) in the equation for the relation between Volumetric flow, Slope and Pipe Diameter using nonLinear Regression analysis Q = a,Dª S°:
For the past decade, rubber powder has been used in asphalt cement to improve performance. An article includes a regression of y = axial strength (MPa) on x cube strength (MPa) based on the following sample data: 112.3 97.0 92.7 86.0 102.0 99.2 95.8 103.5 89.0 86.7 74.7 70.7 58.0 49.2 74.3 73.0 68.3 59.5 57.3 48.9 (a) Obtain the equation of the least squares line. (Round all numerical values to four decimal places.) %3D Interpret the slope. A one MPa decrease in axial strength is associated with an increase in the predicted cube strength equal to the slope. A one MPa decrease in cube strength is associated with an increase in the predicted axial strength equal to the slope. A one MPa increase in axial strength is associated with an increase in the predicted cube strength equal to the slope. A one MPa increase in cube strength is associated with an increase in the predicted axial strength equal to the slope. (b) Calculate the coefficient of determination. (Round your answer to four…
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