Is the chatGPT correct? 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 MSE of the hypothesis you found on the data (any answer within the right order of magnitude will be fine)? ChatGPT Answer:To compute the MSE of the hypothesis on the data, we need to compute the predictions of the hypothesis on the input, and then take the mean of the square of the differences between the predictions and the actual output values. Here is the general formula: MSE=(1)sum((yypred)2) Where y is the actual output values and y_pred is the predictions of the hypothesis on the input. To get the MSE of the hypothesis we found on this data, we need to substitute the values and calculate the result, which I can't do without the values of theta and theta_0