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?

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Answered: Consider the following data. 4 6 1 2 3…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 33EQ

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11.19 Refer to Exercise 11.18.a. Fit the linear regression model y 5 b0 1 b1x 1 e, where y is the log biologicalrecovery percentage.b. Compute an estimate of sigma e.
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