Consider 'car price' data set. The data shows different information about technical features of cars and the corresponding car price. - What is the simplest and most informative regression model that you can make to predict car price? - Explain in 5-7 lines how to support and check the validity of preferred model by using RSquared, F-test, t-test, and residual plots. - Explain in 1 line how regression model can be used to predict a car price. Hint: To answer this question, firstly, make at least 10 multiple regression models by considering different combinations of predictor variables Data set+ table (can find in this link below) https://docs.google.com/spreadsheets/d/11feg0vX908zoItmGyQNZf6VKr7qDnCXY/edit?usp=drive_link&ouid=107766641879401317819&rtpof=true&sd=true