Is chatgpt's answer right? Please explain.

You are given the following data, where d=1,n=4. D={[[1],2],[[2],7],[[3],3],[[4],1]} You want to use analytic linear regression to solve the problem. What is the X matrix? Remember to include an extra input dimension that always has the value 1. Provide a list of lists that would be an argument to np. array(), where each data point is a column. ChatGPT Answer: The X matrix is the input matrix that contains the input data, in this case it is a d+1n matrix where d+1=2 and n=4. To include the extra input dimension that always has the value 1 , we can insert a column of 1s before the existing input data. For the given data set, X matrix would be: X=nparray([[1,1],[1,2],[1,3],[1,4]])