The article "Two Different Approaches for RDC Modelling When Simulating a SolventDeasphalting Plant" (J. Aparicio, M. Heronimo, et al., Computers and ChemicalEngineering, 2002:1369–1377) reports flow rate (in dmh) and specific gravitymeasurements for a sample of paraffinic hydrocarbons. The natural logs of the flow rates (y)and the specific gravity measurements (x) are presented in the following table.х-1.2040.8139-0.5800.81710.0490.82020 6730.82331.3110.82641.9590.82942.6140.83233.2700.8352Fit the linear model y = Bo + B,x + ɛ. For each coefficient, test the hypothesis that thecoefficient is equal to 0.Fit the quadratic model y = Bo + B,x + B2x? + E. For each coefficient, test thea.b.hypothesis that the coefficient is equal to 0.Fit the cubic model y = Bo + Bix + B2x²+ Bax + E. For each coefficient, test theC.hypothesis that the coefficient is equal to 0.Which of the models in parts (a) through (c) is the most appropriate? Explain.Using the most appropriate model, estimate the flow rate when the specific gravity is0.83.d.e.

Enter the given data in EXCEL sheet and create the variables x2 and x3 as shown below:

Answered: The article "Two Different Approaches…

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) Consider the information given in the two ANOVA table below corresponding to the linear regression model: Y = Bo + B1x1 + B2x2 + B3X3 + E. Fill the missing information in the ANOVA table below: %3D Source of DF SS MS F Variation Regression 77.76 Error Total 16 121.50 ANOVA table for the linear regression model b) Test the mull hypothesis Ho: B1 = B2 = B3 alternative at a = 0.05 level of significance. = 0 against the appropriate marks) %3D %3D %3D c) Calculate R- and adjusted-R- from the data given in the ANOVA table in a) above.
Solids (grams) obtained from a material as y, with respect to drying time (Hours) as x. Ten experiments were carried out to obtain the following observations: Table on the picture (a) Create a scatter diagram for the data. (b) Estimated regression model according to the data conditions. (c) Calculate Model Accuracy (R²) and Relationship Between Variables (r²)
The authors of a paper investigated whether water temperature was related to how far a salamander would swim and whether it would swim upstream or downstream. Data for 14 streams with different mean water temperatures where salamander larvae were released are given (approximated from a graph that appeared in the paper). The two variables of interest are x = mean water temperature (°C) and y = net directionality, which was defined as the difference in the relative frequency of the released salamander larvae moving upstream and the relative frequency of released salamander larvae moving downstream. A positive value of net directionality means a higher proportion were moving upstream than downstream. A negative value of net directionality means a higher proportion were moving downstream than upstream. Mean Temperature (x) 6.22 8.01 8.67 10.51 12.4 12.04 12.55 17.93 18.34 19.84 20.3 19.12 17.68 19.57 USE SALT Net Directionality (y) -0.08 0.25 -0.14 0.00 0.08 0.03 -0.07 0.29 0.23 0.24 0.19…
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An article contained the following observations on degree of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range: 415 421 422 423 426 429 431 434 436 439 445 446 448 453 455 463 464 (a) Construct a boxplot of the data. O 420 420 430 430 440 440 450 The data appears to be centered near 438. The data is strongly skewed. There is one outlier. 450 Comment on any interesting features. (Select all that apply.) There are no outliers. The data appears to be centered near 428. There is little or no skew. 460 420 420 430 430 (b) Is it plausible that the given sample observations were selected from a normal distribution? Yes No 440 440 450 450 460 460 (c) Calculate a two-sided 95% confidence interval for true average degree of polymerization. (Round your answers to two decimal places.)
Instructions:Perform the following exercise in minitab. (in pictures)
Plzz give the answer of all questions
An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213-216) describes several experiments investigating the rodding of concrete to remove trapped air. A 3-inch x 6-inch cylinder was used, and the number of times this rod was used is the design variable. The resulting compressive strength of the concrete specimen is the response. The data are shown in the following table. Compressive Strength (psi) Observations Rodding Level 10 15 20 25 1530 1530 1440 1610 1650 1500 1560 1730 1530 1500 1490 1510 (a) Is there any difference in compressive strength due to the rodding level? Use a = 0.05. Calculate to 2 decimal places for Is there statistical evidence to say that rodding level affects compressive strength? (b) Find to 2 decimal places the P-value for the F-statistic computed in part (a). P-value= (c) Analyze the following residual plots to determine model adequacy, Does the assumption of normality seem reasonable? Does there appear to be an outlier in the data? Does the assumption…
Anarticle in Technometrics by S. C. Narula and J. F. Wallington Prediction, Linsar Regression, anda Minimum Sum of Relative Erro Vol. 19, 1977) presents data on the selling price (y) and annual taxes (x) for 24 houses. The taxes include local, school and county ta The data are shown in the following table. Sale Price/1000 Taxas/1000 25.9 4.9176 29.5 5.0208 27.9 4.5429 25.9 4.5573 29.9 5.0597 29.9 3.8910 30.9 5.8980 28.9 5.6039 35.9 5.8282 315 5.3003 31.0 6.2712 30.9 5.9592 30.0 5.0500 36.9 8.2464 419 6.6969 40.5 7.7841 43.9 9.0384 37.5 5.9894 37.9 7.5422 44.5 8.7951 37.9 6.0831 38.9 8.3607 36.9 8.1400 45.8 9.1416
An article in Concrete Research ("Near Surface Characteristics of Concrete: Intrinsic Permeability," Vol. 41, 1989), presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are n = 14, Σy = 572, Σ.y = 23,530, x = 43, Ex = 157.42, and xy = 1697.80. Assume that the two variables are related according to the simple linear regression model. Statistical Tables and Charts Part 1 Calculate the least squares estimate of the slope. (Round your answer to 3 decimal places.)
4
3. Wine Participant magazine has collected average price per bottle for the prestigious Chateau Le Thundebird bordeaux for different vintages (years). The data appears in the table below. year of bottling price a) draw the scatter diagram showing how wine price varies by vintage year b) use the most appropriate regression equation to determine the relationship between year of bottling (age) and price. c) what is the explanatory power (RSQ) of that equation d) determine the predicted price of a bottle of this wine for the 2017 vintage. 2009 36 2010 40 2011 51 2012 60 2013 68 2014 72 2015 70 2016 65 2018 51 2019 44 2020 39

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