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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