Suppose you are asked to demonstrate the high bias/underfitting problem in machine learning domain. You can use simple linear regression modeling for the price estimation of a house in Islamabad. a) What type of data will you use? Generate data through python code (data frames, lists, etc) and plot. b) What changes in code you will make to overcome high bias problem?