1.Consider the following data.1234y100 2511 6Apply the whole modeling process:1) Consider a modeling assumption and its linearized version Y = AX + B. Youmay assume that the model is a power function model or an exponential model.2) Test the suitability of the model assumptions.X5674 3 23) Develop a model on this basis by determining the model parameters.4) Test the suitability of your model by comparing it with the original data.Calculate the relative error in % for each data point. Comment on the suitabilityof your model.5) Consider the y value at x=2.5. At which x is this value y(x=2.5) reduced by 25%according to the model?

Consider the following data. 4 6 1 2 3 5 y 100 25 11 4 Apply the whole modeling process: 1) Consider a modeling assumption and its linearized version Y = AX + B. You may assume that the model is a power function model or an exponential model. 2) Test the suitability of the model assumptions. 3) Develop a model on this basis by determining the model parameters. X 6 7 3 2

Consider the following data. 4 6 1 2 3 5 y 100 25 11 4 Apply the whole modeling process: 1) Consider a modeling assumption and its linearized version Y = AX + B. You may assume that the model is a power function model or an exponential model. 2) Test the suitability of the model assumptions. 3) Develop a model on this basis by determining the model parameters. X 6 7 3 2

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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