Any hints for this question

•Write a function to prepare the input for linear regression of an autoregressive model. The function has to be general so the autoregressive lags should be the input of the function. function [x,y] = autoregressive(y,lags) • Write second function to compute the BIC of regression model BIC = n ln(RSS n ) + k ln(n) , where n is the sample size and k is the number of parameters • Find and optimal model with 3 variables. Try all combinations for lags from 1 to 7 (You should use function nchoosek to prepare list of all lags combinations). As a criterion use the BIC.

Linear Regression

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MATLAB offers tools for real-time AI applications, including Simulink for modeling and simulation. It can be used for developing algorithms and control systems for autonomous vehicles, robots, and other real-time AI systems.

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