The article "Polyhedral Distortions in Tourmaline" (A. Eril, J. Hughes, et al., The CanadianMineralogist, 2002 153-162) presents a model for calculating bond-length distortion invanadium-bearing tourmaline. To check the accuracy of the model, several calculatedvalues (x) were compared with directly observed values (y) The results (read from a graph)are presented in the following table.Observed ValueCalculated Value0.330.360.360.360.540.580.560.660.640.640.660.670.740.580.740.780.790.860.970.971.111.031101.061.131.08114117Assume that the observed value y is an unbiased measurement of the true value. Showthat if the calculated value x is accurate (ie., equal to the true value), then y = x+ ,where e is measurement error.a.b. Compute the least-squares line y=Show that if the calculated value is accurate, then the true coefficients are , = Oand e,Â, + Â,x-C.=1.d. Test the null hypotheses e,-0 and e, = 1.Is it plausible that the calculated value is accurate? Or can you conclude that it is not?Explain.e.

Answered: Image /qna-images/answer/3c7d84b5-e8af-4a09-b6b1-a0d37fc67f0f.jpg

Answered: The article "Polyhedral Distortions in…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The data in worksheet 2.2 have spec limits USL/LSL = 40 ± 1. Perform the process capability analysis (Cp, Cpk, Pp, and Ppk) and diagnose the process, i.e. what problems are present? What steps should be taken to improve the process and how effective will they be?
Section 2.3 Questions 7 Thank you for answering
(4-7) There is another research on the relationship between average daily earnings and age. = -15 + 2.4 * age (8.85) (1.02) ADE = R?= 0.02, SER =3.5 4. Interpret the result carefully. (should include constant, slope coefficient, R2.) 5. Conduct a hypothesis testing on the slope coefficient ( HO: slope=0). 6. How much more you would make daily at the age of 50 compare to that of age 20? Do you think the result is plausible? 7. It turned out that the ols residual of the regression model has non-zero correlation-coefficient with the existing regressor of age and there is a bias in the slope. List at least 2 potential variables(factors) that could satisfy the conditions of omitted variable. (Explain why you think the choice of your new factors could meet the 2 conditions.)
4. Question Draw and upload two datasets that have the same correlation coefficients but different slopes. Use the graphs below as a template for your submission. * (Sext |0, 0.5, Y'I, ext(0.5, e, x'}1 * (Pext10, 0.5. Y'i, Text(0.5. o, x') 1.0 1.0 0.8 - 0.8 0.6 0.6 0.4 - 0.4 0.2- 0.2 0.0 0.0 0.0 0.0 0.2 0.4 0.6 0.8 1.0 0.2 0.4 0.6 0.8 1.0 plot of chunk cor_slope
The article "The Undrained Strength of Some Thawed Permafrost Soils" contained the accompanying data on the following. y shear strength of sandy soil (kPa) x₂-depth (m) x₂ water content (%) The predicted values and residuals were computed using the estimated regression equation 9-145.41-14.24x, +12.70x₂ +0.079x,-0.236 +0.441x where x₂-x₂²x₂-x₂², and x ₁2 Y 14.7 *2 9.1 31.6 48.0 36.5 27.1 25.6 36.7 25.8 10.0 6.0 39.2 16.0 7.0 39.3 16.8 7.0 38.4 20.7 7.4 34.0 38.8 8.3 33.7 16.9 6.4 28.0 27.0 8.1 33.0 16.0 4.6 26.4 24.9 9.8 37.9 7.3 2.8 34.5 12.8 1.9 36.3 Predicted y Residual 23.83 47.07 26.46 10.77 14.57 16.88 23.38 25.07 16.23 24.31 15.06 28.64 15.08 8.15 -9.13 0.93 -0.86 -0.77 1.43 -0.08 -2.68 13.73 0.67 2.69 0.94 -3.74 -7.78 4.65 (a) Use the given information to calculate SSResid, SSTO, and SSRegr. (Round your answers to four decimal places.) SSTO- 1x |x SSResid- SSRegr - Ix (b) Calculate R² for this regression model. (Round your answer to three decimal places.) R²-X How would you…
2)
Using the principle of teast-5quares Fit curve of the form y=acl+b*) to the given data belo wi- 15 Do
Section 4.2 Question 7 Thank you
Section 1.5 Question 18 Answer please
Mist (airborne droplets or aerosols) is generated when metal- removing fluids are used in machining operations to cool and lubricate the tool and workpiece. Mist generation is a concern to OSHA, which has recently lowered substantially the workplace standard. The article "Variables Affecting Mist Generaton from Metal Removal Fluids" (Lubrication Engr., 2002: 10-17) gave the accompanying data on x = fluid-flow velocity for a 5% soluble oil (cm/sec) and y = the extent of mist droplets having diameters smaller than 10 μm (mg/m³): x y 89 177 189 354 362 442 965 .40 .60 .48 .66 .61 .69 .99 a. The investigators performed a simple linear regres- sion analysis to relate the two variables. Does a scat- terplot of the data support this strategy? b. What proportion of observed variation in mist can be attributed to the simple linear regression relationship between velocity and mist? c. The investigators were particularly interested in the impact on mist of increasing velocity from 100 to 1000 (a…
.List a strength or weakness for each of the following analysis techniques: 1.Fold Change 2.Parametric (e.g., ANOVA, t-test) 3.Non-parametric (e.g., Wilcoxon Rank-Sum) 4.Resampling (e.g., Bootstrapping, Permuting)
In this image I just want the answers for h,I and J. Thanks in advance.

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS