Is chatGPT's answer 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. Using the same data as in the previous question (with two added noise dimensions) but using ridge regression with =11010 We get the following parameters: =1.3777111002.5745811055.070563104,0=7.260269100 Does this hypothesis have higher or lower testing set error than the result without ridge regression? ChatGPT Answer: It is not possible to determine if this hypothesis has higher or lower testing set error than the result without ridge regression without more information such as the MSE of the hypothesis without ridge regression on the testing set