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Create a function covLast.m that takes as input a matrix Mat and returns the cov

ID: 3820547 • Letter: C

Question

Create a function covLast.m that takes as input a matrix Mat and returns the covariance matrix Cov. Note that this function should only be 5 lines of actual code if you take advantage of matrix multiplication and Matlab's functions size, mean, and repmat. See if your answer makes sense by comparing your solution from a small random matrix with Matlab's built in function cov. You may want to use help cov to check if you are comparing the correct solutions. Create a function corLast.m that takes as input a matrix Mat and returns the correlation matrix Cor. Note that this function should only be 6 lines of actual code if you take advantage of matrix multiplication and Matlab's built-in functions. See if your answer makes sense by comparing your solution from a small random matrix with Matlab's built in function corr.

Explanation / Answer

CovLasm()

{

int N,i,j;

float Mat[2][2];

float cov=cov(Mat);

cov(X, Y) = ( Xi - X ) ( Yi - Y ) / N = xiyi / N;

}

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