Use the least square method to develop a linear model to predict the city mileage of a car given all other continuous attributes of a car in the data file. Show screenshot of "Effect Summary" from JMP.[5 points]a. Remove the insignificant parameters from the model one by one by checking the log(worth) of each parameter and removing the least important parameter first from the model. b. Keep doing it until you are left with parameters that are significant (p-value less than 5%). Show the screenshot of Effect summary and parameter estimates and Analysis of Variance tables from JMP analysis. [5 points]c. What is the R2 of your final model? Explain the meaning of the obtained R2. [5 points]d. Based on the model, what is the most and least important variables in predicting the city mileage of a car?[5 points]e. Write down the equation of the model and give an interpretation of each significant regression coefficient. [5points]