Can you help me to solve this question? I applied linear regression to this data so I found the test data by using 'ypred=Bo+B1x formula'. Then I calculated my RSS value, actually, I also want to find a second-degree polynomial model to make predictions but I don't have an idea how to do that, thank you for your response. Please answer the question according to the machine learning approach.

1. You are provided with the data set {(x=0 y=0), (x=10 y=200)} and told that the underlying model is a third degree polynomial. What degree polynomial model would you recommend to minimize test error? Justify your recommendation