5. Create a MATLAB Script to do a linear, quadratic and exponential regression (usingpolyfit and Isqcurvefit MATLAB regression functions) and plot the points and thecurve. Test it for the following data sets.a. x[123] and y = [148]b. x [-1012] and y = [ 1/3 139]x = [018 12 27] and y = [12345]

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Answered: 5. Create a MATLAB Script to do a…

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Write a computer code to do linear regression analysis of a given dataset to find the relation between two variables which gives the least sum of squares error. Using Excel or Matlab. Include a copy of the script, a sample input, and a sample output from your codes. Sample output must include modelfit parameters and the sum of the squared errors for the fit. Please also run the code for thefollowing data set to find and report the relation between y and x:x y25 3040 80120 15075 80150 200300 350270 240400 320450 470575 583
what is the difference between a multpile regression modle and correlation using R-values?
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MatLab Create a function that calculates the coefficients of the least-squares regression for a 2nd order polynomial. Use LU Decomposition to find the coefficients. The function should have: Input: X and Y Output: a_0, a_1, a_2, r^2, r. Please test your function on the data below and plot the results. Be sure to save your function and include it in your homework submission!
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Question 1: In class we went over the derivation for linear regression on the white board. Starting with = the step where you have E (Y – XW)¹ (Y – XW) write the derivation to get to the step W = (XTX)-¹XTY. Explain the math used in each step.
Two engineers were independently testing a cubic polynomial regression model on the same dataset. The first engineer used the validation set approach, while the second one used 10-fold cross-validation to estimate test MSE. Both of them repeated the test 20 times, each time with a different set.seed() number. Then, each engineer calculated the mean and the standard deviation of his 20 estimated test MSE. Which of the following statement is most likely true? • The standard deviation of MSE from the first engineer will be greater than the standard deviation of MSE from the second engineer. • The mean MSE from the first engineer will be less than the mean MSE from the second engineer. • The mean MSE from the first engineer will be greater than the mean MSE from the second engineer. • The standard deviation of MSE from the first engineer will be less than the standard deviation of MSE from the second engineer.
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5. Create a MATLAB Script to do a linear, quadratic and exponential regression (using polyfit and Isqcurvefit MATLAB regression functions) and plot the points and the curve. Test it for the following data sets. a. x[123] and y = [148] b. x [-1012] and y = [ 1/3 139] x = [018 12 27] and y = [12345]